Our voice agent ran the overnight desk for six weeks before anyone noticed it wasn't a person. Handoff patterns were that clean.
AI FOR FINANCIAL SERVICES
Applied AI for Financial Institutions
Built for Regulated Environments
From client onboarding and KYC verification to loan servicing calls and advisor productivity, Agaro builds AI systems designed around audit trails, human-in-the-loop review, and the operational realities of banks, credit unions, RIAs, and lenders.
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Search modules, runs, intents… ⌘K
Dashboard
Operations summary across every Agaro module deployed in your tenant — last 24 hours.
Overview Runs Health Spend
Modules live
10
+2 this quarter
Events / 24h
84.2K
99.7% first-pass
Containment
87%
voice + chat blended
Audit trail
100%
replayable
Operations · last 24h
84,212 events handled
Handled Escalated
00:0004:0008:0012:0016:0020:00
Modules · health
10 live
Recent activity
Live feed
- 14:32 AI Voice Agent Resolved 37 inbound calls, mean handle time 2:38
- 14:18 Workflow Automation Completed Nightly reconciliation · 4,128 records · 0 exceptions
- 14:05 BI, Analytics & Logistics Anomaly Unit margin in EMEA flipped −2.4σ — drilldown ready
- 13:47 Conversation Bot Escalated 2 sessions to live agent (billing edge case)
- 13:24 Sales Automation & CRM Forecast Q3 forecast holds at 102% to plan, ±4%
- 12:58 GovCon ERP CDRL Deliverable W912DY-25-C-0042 marked submitted
AI Voice Agent
An always-on voice operator that handles inbound triage, outbound campaigns, and after-hours coverage with the composure of a seasoned watch officer.
Avg Handle Time
2:41
Languages
27
Containment
87%
Status
Live
Capabilities
- Sub-second turn-takingLatency tuned to under 800ms perceived turn-take, with barge-in and graceful interruption handling that feels like a human operator, not a robot.
- Escalation with contextWhen a human takes over, the entire conversation, intent, and customer history transfers — no 'please tell me again why you called.'
- Compliance-aware speechPII redaction, recording disclosures, and jurisdiction-specific scripts enforced at the model layer, not bolted on later.
- Outbound at scaleCampaigns run with rate limiting, quiet-hours awareness, auditory honor lists, and a shared answer-machine policy.
Live signal
248 calls handled today. Mean handle time 2:41. Escalation rate 3.2% — within nominal band.
Specs
- Deployment Standard cloud or dedicated tenant
- Latency Sub-800ms perceived
- Languages 27 production-grade
- Compliance Audit-ready
Conversation Bot
A reasoning conversational layer that answers, qualifies, and routes — across web, WhatsApp, Slack, and Teams — using your knowledge as the source of truth.
Channels
8
First-Contact Resolution
74%
Avg Turns
3.1
Status
Live
Capabilities
- Grounded in your knowledgeRetrieval over your documents, ticket history, and product specs — with citations the user can click through to verify the source.
- Multi-channel paritySame brain, every surface. The conversation that started on the website continues seamlessly in WhatsApp three days later.
- Intent clarificationWhen a request is ambiguous, the agent asks one targeted clarifying question rather than guessing and apologizing later.
- Live-agent handoffSmooth transfer to a human with a one-paragraph context summary, draft reply, and the model's recommended next steps.
Live signal
Average resolution: 1 turn for FAQs, 3 turns for billing, 4 turns for technical. CSAT 4.6 / 5 over last 30 days.
Specs
- Channels Web, WhatsApp, Slack, Teams, SMS, IG, FB, Email
- Knowledge RAG with citations
- Languages 27 production-grade
- Latency First token under 600ms
ERP & Business Operations
An operating system for the back office. Finance, inventory, procurement, and HR — wired into the rest of your stack from day one, closing the books on the first of the month.
Close Cycle
2 days
Modules
11
Audit Readiness
100%
Status
Live
Capabilities
- General ledger that ties outMulti-entity, multi-currency, with sub-ledger reconciliation that runs continuously — not just at month-end.
- Procure-to-payRequisition, approval, three-way match, and vendor payment in one workflow your auditor can trace top to bottom.
- Inventory & supply chainReal-time stock positions, demand forecasting, and supplier risk surfaced before the line goes down.
- HR & workforceHeadcount, comp, performance, and time — under one record of truth, with role-based access enforced at the data layer.
Live signal
12 of 14 reconciliations complete. 2 exceptions surfaced for controller review. Variance within 0.4% of forecast.
Specs
- Modules GL, AP, AR, PO, Inventory, HRIS, Payroll, FP&A, Tax, Treasury, Assets
- Multi-entity Unlimited
- Close 1–2 day cycle
- Compliance SOX, GAAP, IFRS
BI, Analytics & Logistics
Decision-grade analytics: governed metrics, audited pipelines, and forecasts your CFO can put in a board deck without a footnote.
Sources Wired
40+
Metrics Governed
1,200
Refresh Cadence
5 min
Status
Live
Capabilities
- Semantic layer with lineageEvery metric defined once, governed centrally, and traceable from dashboard tile to source row.
- Forecasting that's honestProbabilistic forecasts with confidence intervals — not a single line that always looks like growth.
- Anomaly detectionContinuous monitoring on KPIs that matter, with explanations for what changed and which dimensions drove it.
- Self-serve, governedOperators ask questions in plain language; the system answers using the certified semantic layer, never wild SQL.
Live signal
Revenue tracking 102% of plan. Two leading indicators flipped negative — see annex. CAC payback steady at 9.4 months.
Specs
- Warehouses Snowflake, BigQuery, Databricks, Redshift
- Sources 200+ pre-built
- Semantic Layer Metric definitions as code
- Forecasting Bayesian + classical
GovCon ERP Platform
A purpose-built ERP for government contractors — contract lifecycle, DCAA-ready cost accounting, labor distribution, and deliverable tracking, set up the way your CO and DCAA auditor expect to see it.
Contract Types
FFP, T&M, CPFF, IDIQ
Audit Posture
DCAA-Ready
Setup
8–12 wks
Status
Live
Capabilities
- Contract lifecycle, cradle to closeoutAward, mods, options, deliverables, and closeout tracked in one record. CDRLs and milestones tied to invoices and revenue recognition.
- DCAA-ready cost accountingIndirect rate pools, allocation bases, and unallowable cost segregation set up to match the structure your auditor will ask for.
- Labor distribution & timekeepingCompliant timesheet capture, project charging, and cost transfers — with the audit trail that survives a floor check.
- Pipeline & business developmentLive SAM.gov and USAspending integration. ML-scored opportunity matching. Capture, proposal, and award all in one place.
Live signal
Period 7 of 12. Funded $2.4M of $4.8M. CPFF burn 51%, on plan. 3 deliverables due in next 14 days.
Specs
- Contract Types FFP, T&M, CPFF, CPIF, IDIQ, BPA
- Cost Accounting DCAA-aligned structure
- Integrations SAM.gov, USAspending, GSA
- Compliance FAR, DFARS, CAS
Workflow Automation
Compose multi-system processes with branching, retry, human-in-the-loop, and observability — built for the workflows that don't fit a templated automation tool.
Success Rate
99.7%
Connectors
300+
Active Workflows
1,400
Status
Live
Capabilities
- Durable executionWorkflows survive restarts, network failures, and downstream outages. Replay from last checkpoint, not from the top.
- Human-in-the-loopPause for approval, request input, or hand off entirely — the workflow waits patiently and resumes when authorized.
- Retry & compensationConfigurable backoff, jitter, and saga-style compensation for actions that need to be unwound on failure.
- Observability built inEvery step traced, every input and output captured, every failure investigable from a single pane of glass.
Live signal
84,212 workflow executions. 99.7% success on first attempt. 246 escalated to human review per policy.
Specs
- Connectors 300+
- Execution Durable, distributed
- Throughput Millions/day
- Observability Full trace per run
Custom AI Software
Custom AI systems, fine-tuned models, and the data pipelines that hold them together — engineered with the same care we put into mission-critical infrastructure.
Engagement
8–24 wk
IP Ownership
Yours
Team Size
3–8
Status
Live
Capabilities
- Domain-tuned modelsFine-tuning, distillation, and adapter training on your data — including parameter-efficient methods that fit your inference budget.
- Agent systemsMulti-step, tool-using agents with planning, verification, and the supervision loops your operators trust.
- Evaluation harnessesCustom evals you run continuously, so model regressions are caught in CI, not in the field.
- Safety & red-teamAdversarial testing against jailbreaks, prompt injection, and the failure modes specific to your domain.
Live signal
Custom retrieval pipeline + fine-tuned reasoning model for legal review. Cycle time down from 14 days to 36 hours.
Specs
- Engagement Length 8–24 weeks typical
- Licensing Standard licensed delivery
- Team Senior applied AI engineers
- Stack Cloud-first
Enterprise AI In-House
A 90-day program that gives your organization its own AI capability — operating model, platform, models, and the team to run them — that you actually control.
Program Length
90 days
Platform
Sovereign
Outcome
Owned
Status
Live
Capabilities
- Operating modelRoles, governance, eval policy, model release process — the institutional plumbing that turns AI from a project into a capability.
- Platform stand-upInference, retrieval, evaluation, observability, and a model gateway, deployed in your environment under your accreditation.
- Foundation model strategyA defensible mix of open-weights, hosted frontier, and bespoke fine-tunes — chosen by capability fit, not vendor lock-in.
- Eval & governanceThe evaluation harness and governance forum your auditor and your engineers will both rely on.
Live signal
Week 1–4: target architecture. Week 5–10: platform stand-up. Week 11–13: handover. Week 14+: your team operates.
Specs
- Length 90-day program
- Deliverables Platform + ops + team
- Deployment Standard cloud or dedicated tenant
- Models Mixed strategy
Consulting
Architecture reviews, build-vs-buy calls, AI program design, and second-opinion engagements — delivered by the engineers who would have built it themselves.
Engagement
2–6 wks
Format
Fixed-fee
Deliverable
Brief + roadmap
Status
Live
Capabilities
- AI strategy & roadmapA clear-eyed read on where AI moves the needle for your organization, where it does not, and what to sequence first.
- Architecture reviewDeep technical review of an existing or proposed AI system — model choices, data plane, costs, failure modes, and the parts the vendor did not tell you about.
- Build-vs-buy analysisA defensible answer to whether a capability should be built in-house, bought from a vendor, or assembled from open-source — with the math behind it.
- Vendor & RFP scoringIndependent technical scoring of vendor proposals, with side-by-side architectures, cost models, and hidden risks surfaced before signature.
Live signal
Architecture review delivered in 14 days. Three vendor RFPs scored. One acquisition recommended against.
Specs
- Engagement Fixed-fee, scoped
- Deliverables Written + working session
- Cleared personnel On request
- Confidentiality Mutual NDA standard
Sales Automation & CRM
Sequencing, routing, forecasting, and the CRM hygiene your reps will never do — woven into one operating layer that keeps the pipeline honest.
CRM Hygiene
96%
Forecast Accuracy
±4%
Rep Time Saved
11 hrs/wk
Status
Live
Capabilities
- Auto-logged activityCalls, emails, meetings — captured, summarized, and attached to the right opportunity without a rep ever opening the CRM.
- Next-best actionEach opportunity gets a recommended action, owner, and trigger — based on stage, signal, and what worked on similar deals.
- Sequencing that adaptsMulti-channel sequences that branch on engagement, pause on out-of-office, and stop on opt-out without supervision.
- Forecast you can defendProbabilistic, opportunity-level forecasts with the reasoning trace your CRO can present without a leap of faith.
Live signal
Forecast 102% to plan. 14 deals at risk surfaced for AE review. CRM hygiene at 96% — up from 68% pre-deployment.
Specs
- CRM Salesforce, HubSpot, Dynamics
- Activity Capture Email, calendar, calls
- Sequencing Multi-channel
- Forecasting Bayesian
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For Financial Services
Every Agaro module, tuned for financial services.
Communication Tailored
AI Voice Agent for Financial Services
Payment due dates, balance inquiries, escrow questions, and rate-lock status consume your servicing team's capacity. Agaro's AI Voice Agent resolves routine borrower and member calls with structured, audit-logged responses — escalating complex or regulated interactions to licensed staff automatically.
Communication Tailored
Conversation Bot for Financial Services
Clients expect instant answers on account status, document upload requirements, KYC request status, and appointment scheduling — via web, mobile, or SMS. Agaro's Conversation Bot handles these exchanges with full conversation logging, keeping your advisors and processors free for high-value work.
Operations Tailored
ERP & Business Operations for Financial Services
Loan pipelines, vendor contracts, staff scheduling, fee reconciliation, and regulatory reporting living in separate systems creates audit exposure. Agaro's ERP connects financial institution operations into one platform — with role-based access, full ledger traceability, and reporting structures your examiners recognize.
Operations Tailored
BI, Analytics & Logistics for Financial Services
Loan-to-deposit ratios, advisor book concentration, fee income trends, and branch productivity gaps remain invisible when data sits in core banking, LOS, and CRM silos. Agaro's BI platform normalizes these sources into executive and board-ready dashboards — no manual spreadsheet assembly required.
Engineering Tailored
Custom AI Software for Financial Services
Generic AI tools are not built around your core banking platform, your specific loan products, or your institution's credit policy. Agaro engineers custom AI systems — fraud triage assistants, document extraction pipelines, advisor research tools — integrated directly into your existing technology stack.
Operations Tailored
GovCon ERP Platform for Financial Services
Financial institutions administering SBA 7(a) loans, USDA programs, or federal grant disbursements face DCAA-style documentation burdens, federal procurement reporting, and program-specific audit requirements that commercial banking software is not designed to handle.
Automation Tailored
Workflow Automation for Financial Services
New account onboarding, beneficial ownership verification, document expiration tracking, and loan condition clearing are high-volume, error-prone processes. Agaro automates these workflows end to end — with human review gates at every regulated decision point and a complete audit trail from first contact to funding.
Strategic Tailored
Enterprise AI In-House for Financial Services
Regional banks and large credit unions are moving AI off vendor platforms and into infrastructure they own — so customer data never transits third-party AI systems, models can be audited by examiners, and pricing is not subject to vendor roadmap changes. Agaro designs the model stack, governance framework, and internal tooling to make that transition executable.
Operations Tailored
Sales Automation & CRM for Financial Services
Mortgage pipelines, commercial relationship officer referrals, insurance cross-sell opportunities, and RIA prospect tracking do not belong in a generic sales CRM. Agaro's CRM is configured for financial services — product type, regulatory status, referral source, and AUM tracked from first contact through closed relationship.
Strategic Tailored
Consulting for Financial Services
Exam risk, fair lending exposure from biased models, third-party vendor due diligence gaps, and staff readiness are not problems a vendor pitch solves. Agaro's consulting practice helps bank and credit union leadership build a sequenced AI strategy before committing budget to tools.
Industry Use Cases
Where AI creates leverage for financial services.
01
How does the voice agent handle calls that require a licensed loan officer or NMLS-registered staff member?
The agent is configured with a defined escalation matrix. Any call involving rate negotiation, loan modification terms, formal hardship requests, or regulatory disclosures is transferred in real time to a licensed staff member, with the full call transcript passed as context. The system never issues commitments on regulated topics and logs every escalation with timestamp and reason — supporting your fair lending and call monitoring compliance programs.
02
Can a conversation bot be used for client communication under SEC and FINRA recordkeeping rules?
Agaro's Conversation Bot logs every exchange with timestamps, channel, and user identity in an immutable audit trail exportable to your existing archival system. We do not certify the product as SEC Rule 17a-4 or FINRA Rule 4511 compliant — your compliance team must make that determination. The architecture is designed to produce the structured, retrievable records those frameworks require, and we provide a technical data dictionary to support your compliance review.
03
How does the ERP handle the data segregation requirements between lending, deposits, and trust operations?
The platform enforces module-level data partitioning with role-based access controls, so loan officers cannot access trust account records and deposit staff cannot see non-public borrower credit files. Each module maintains its own immutable transaction log. This architecture supports the information barrier requirements common in institutions with both fiduciary and lending functions — and produces the access audit trails regulators expect during safety-and-soundness exams.
Introducing Agaro
Applied AI capability to move faster, decide sharper, and stop losing time to busywork.
Watch Continuously
Always-on agents keep the routine in motion so your team can stay forward.
Decide With Evidence
Every brief, draft, and recommendation traceable to the source row.
Act With Authority
Surfaces the next move only when the data warrants action — never noise.
Operations Console
The fastest way to roll out AI agents and automation across your business — with the visibility your finance, legal, and ops teams will ask for.
Explore ConsoleConnect your sourcesCRM, ERP, support tools, internal databases — wherever your data already lives.
Define guardrailsRoles, approval steps, and the rules that match how your team works.
Deploy and observeEvery action logged and replayable, so nothing happens in the dark.
Watch Floor · Sector 4-G
● Live03:42 UTC
Events / hr
12,402
+218 vs baseline
Flagged
3
awaiting review
Suppressed
21
noise filtered
| Signal | Source | Posture |
| Patch window 04A | SCCM | Ready |
| Anomaly · sector 4-G | SIEM | Review |
| Briefing CC-22 | Command | Prepared |
Use Cases
One operating layer, every team
— from the front desk to the back office.
Across the business
Sales, support, ops, finance — one operating layer instead of a dozen disconnected tools.
One source of truth
Every signal, every record, every action — same data across teams.
Auditable end-to-end
Replay any decision and produce evidence on demand for finance, legal, or your auditor.
Operations Intelligence
Sales floors, support queues, and ops teams that no longer drown in their own data. Continuous correlation across CRM, ERP, and your support stack — surfacing the one thing worth your manager's attention.
Get a WalkthroughSales & RevenuePipeline forecasting and lead routing built on your CRM.
Back OfficeERP, BI, and finance ops on one connected spine.
Field & MobileNative apps for teams working away from the desk.
Fusion Cell · Watch Floor
03:14Z
Anomaly Score · last hour
0.82
▲ +0.14 · within tolerance
| Event | Source | Action |
| Lateral movement | EDR · sector 4-G | Review |
| DNS exfil pattern | NDR | Suppressed |
| Auth anomaly | IdP | Verify |
How it Works
Three phases from signal to action,
delivered as one continuous loop.
Connect
Pull from the systems your data already lives in — CRM, ERP, support tools, databases.
Reason
Models tuned to your business, with retrieval and source-checking baked in.
Act
Make calls, send emails, update records, draft documents — under your supervision.
Continuous Loop
One question, three phases, one feedback loop. From a manager's question to a logged action — the cycle that keeps your business moving.
Walk the Loop01 · ConnectPlug into your sources, set permissions, normalize the feed.
02 · ReasonModels tuned for your work, with the evidence preserved.
03 · ActExecute where decisions get made, log every step.
Operator Console · Session OPS-2841
↵ to dispatch
› Brief me on overnight changes in sector 4-G…
01 Ingest 4 sources synced · 12,402 events
02 Reason 3 anomalies correlated · confidence 0.78
03 Act Briefing CC-22 prepared. Awaiting confirm.
● Intel ○ Voice ○ Ops
Benefits
Built for teams that need work done right.
Your Data Stays Yours
Your data lives in your environment. We never train models on your traffic.
Audited at Every Step
Every model call, every action, every decision — logged and replayable when you need to show your work.
Reliable in the Real World
Graceful failure modes, retry logic, and quiet recovery when an upstream system goes down.
Production in Weeks, Not Quarters
Pre-built agent frameworks and deployment templates that compress go-live from months to weeks.
Built on Solid Ground
SOC 2 Ready, HIPAA Ready, 99.9% uptime targets, and the basics of secure software done right.
Built To Last
Versioned configurations, exportable data, and clean handover documentation — so the system you run is one you can operate, audit, and extend.
Testimonials
What our customers say
Industry-anonymized accounts from senior buyers across our deployments. Names redacted at our clients' request; the outcomes are real.
Shipped to our private cloud in 11 weeks. Our previous integrator quoted eighteen months. The difference is engineering discipline.
Self-serve resolution went from 31% to 74% on first contact. We retired two ticketing tools and a chatbot vendor in the same quarter.
Our voice agent ran the overnight desk for six weeks before anyone noticed it wasn't a person. Handoff patterns were that clean.
Shipped to our private cloud in 11 weeks. Our previous integrator quoted eighteen months. The difference is engineering discipline.
Self-serve resolution went from 31% to 74% on first contact. We retired two ticketing tools and a chatbot vendor in the same quarter.
Strategic Partners
The teams we deploy with,
around the world.
Strategic Partner
PAC Group LLC
Joint go-to-market and applied AI deployments across the operations stack.
gopacgroup.com →
ERP Strategic Partner
Netlinks Inc
ERP integration and back-office automation across finance, supply, and HR.
netlinks.net →
Azerbaijan Representative
Xazri Agency
Our representatives across Azerbaijan and the Caspian region.
xazri.agency →
Frequent Questions
The questions principals ask before
they sign the engagement letter.
AI employees are autonomous software agents that handle real business work end to end, the way a staff member would — answering and placing phone calls, qualifying and routing leads, running multi-step workflows, reconciling records, and generating business-intelligence reports. Unlike a chatbot that only replies, an Agaro AI employee takes action inside your systems: it reads from your CRM or ERP, makes a decision under the guardrails you set, and logs every step so the work is auditable. They run 24/7 with no breaks, no shift gaps, and no salary, and they scale instantly during peak demand. Most teams deploy them to cover repetitive, high-volume tasks — after-hours coverage, first-line support, data entry — so their people focus on judgment work. Agaro builds each one around your specific data, tone, and processes rather than shipping a generic bot.
Most production-ready Agaro AI agents go live in 7–21 days, and a scoped pilot typically runs in about 30 days. Our methodology moves through four phases: discovery (we map the workflow, data sources, and success metrics), build (we configure the agent, connect your systems, and set guardrails), training (we tune it on your real data and edge cases), and deployment (we cut it over with human-in-the-loop review). Timeline depends mostly on integration complexity — a single-channel voice or chat agent lands faster than a multi-system workflow spanning your CRM, ERP, and telephony. After go-live, we don't walk away: every deployment includes continuous monitoring and optimization, so the agent keeps improving on real-world performance. For larger enterprise builds, we phase the rollout so you see value early instead of waiting on one big-bang launch.
Agaro integrates with 100+ tools out of the box and can connect to virtually any system with an API. That includes the major CRMs (Salesforce, HubSpot, Pipedrive, Microsoft Dynamics), ERPs (SAP, NetSuite, Oracle, Odoo), communication platforms (Twilio, Slack, Microsoft Teams, WhatsApp, SMS), and productivity suites (Google Workspace, Microsoft 365), plus automation layers like Zapier. Because we build around the systems your data already lives in, the AI reads and writes to your real source of truth rather than forcing you onto a new platform. For custom or legacy systems without a standard connector, our engineering team builds a direct REST, SOAP, or database integration as part of the engagement. Every integration is scoped during discovery so you know exactly what connects, what data moves, and how it's secured before any build work begins.
Yes. Agaro is SOC 2 Ready and HIPAA Ready, and every deployment is engineered to enterprise security standards: encryption at rest and in transit, role-based access controls, per-deployment data isolation, and full audit logging on every action the AI takes. We never train foundation models on your traffic, and your data stays in your environment — we support private-cloud and single-tenant deployments for organizations with strict data-residency or regulatory requirements. We target 99.9% uptime and provide the audit trail your finance, legal, and compliance teams will ask for. For healthcare clients we support HIPAA-aligned deployments and can provide a BAA. "SOC 2 Ready" and "HIPAA Ready" mean our controls are built to those frameworks; we walk your security team through exactly which controls are in place during evaluation, which is usually faster than the technical review itself.
Agaro pricing is custom because cost depends on scope — how many agents, how many integrations, the call or message volume, and whether you need a standard cloud or an isolated private-cloud deployment. Rather than a fixed per-seat license, we quote against the actual work the AI does and the value it returns, so a single after-hours voice agent costs far less than a multi-system workflow platform. We scope every engagement with a clear, fixed proposal after a short discovery call, so there are no surprise line items. Most clients see full ROI within 30–90 days of deployment, typically by cutting headcount-equivalent cost on repetitive work, recovering revenue from missed calls and leads, or retiring overlapping software tools. We're happy to model the expected payback for your specific use case before you commit to a pilot.
In most cases, no — and that's by design. Agaro AI agents are built to absorb the repetitive, high-volume, after-hours work that burns out teams: routine calls, first-line support, data entry, status updates, and follow-ups. That frees your people for the judgment, relationship, and escalation work that actually needs a human. The common pattern our clients use is augmentation, not replacement — the AI handles the first 70–80% of volume and hands off cleanly to a person the moment human judgment is required, with full context attached. That said, the AI does deliver real efficiency: teams routinely cover 24/7 demand without adding headcount and redeploy existing staff to higher-value roles. We design the human-in-the-loop handoff points with you up front, so your team stays in control and nothing critical happens without oversight.
Agaro serves any business with high volumes of customer interactions or internal workflows, with deep experience in healthcare, government contracting, financial services, manufacturing, retail and e-commerce, insurance, logistics, real estate, legal, dental, hospitality, restaurants, home services, and education. The common thread isn't the vertical — it's the work: phone and chat coverage, lead qualification, scheduling, intake, order and claim handling, and back-office automation across ERP, BI, and finance. Because we build custom rather than ship a fixed product, the same underlying capabilities adapt to each industry's specifics — DCAA-aligned cost accounting for government contractors, HIPAA-aligned intake for healthcare, or reservation and order handling for restaurants. We also support regulated environments that need audit-ready posture and private-cloud deployment. If your operation runs on repeatable processes and customer touchpoints, Agaro can almost certainly automate a meaningful slice of it.
No. Agaro handles all of the technical implementation — system integration, model selection and tuning, guardrail configuration, deployment, and ongoing maintenance. Your role is to provide business context: what the workflow looks like today, what a good outcome is, and where the AI should hand off to a person. We translate that into a working system, and we document everything so your team can operate, audit, and extend it without needing to write code. Throughout the engagement we work in plain business language, not jargon, and we walk your stakeholders — operations, finance, legal — through how the AI makes decisions and what controls are in place. After launch, you get clear runbooks and a dashboard for visibility, plus our team on call for changes. You bring the domain expertise; we bring the engineering.
Deployment is the start of the relationship, not the end. Every Agaro AI agent ships with continuous monitoring, optimization, and support: we track real-world performance metrics — resolution rate, handoff accuracy, latency, cost per interaction — and tune the agent against them so it gets better over time rather than degrading. You get a dashboard with full visibility into what the AI is doing and an audit trail of every action it takes, which your finance and compliance teams can pull on demand. When your processes change or you want to expand the agent to new channels or tasks, we handle the updates. We also review the deployment with you on a regular cadence to surface the next highest-value automation. The goal is a system you can operate and trust for years, with versioned configs and clean handover documentation so you're never locked in.
Off-the-shelf AI tools are generic — they're built for the average customer, so they rarely fit how your business actually runs, and they stop at replies rather than taking real action. Agaro builds custom AI agents trained on your specific data, workflows, and tone, wired directly into the systems you already use, and tuned to the metrics that matter to you. The difference shows up in three places: accuracy (the AI reasons over your knowledge with source-checking, not a generic model's guesswork), action (it executes inside your CRM, ERP, and telephony rather than just chatting), and accountability (every decision is logged, replayable, and auditable). You also own the result — versioned configuration, exportable data, and documentation — instead of renting a black box. We deliver it as one accountable engineering team, from model work through deployment and sustainment, with production rigor rather than a demo.
Stand up your AI capability, the right way.
Schedule a no-pressure call. We'll walk through your stack, your goals, and the path from pilot to production.
Request a Briefing