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AI THAT DOES THE WORK

AI employees
for your business.

Agaro builds AI employees and AI agents that handle calls, chats, workflows, reports, and custom software. We connect them to the tools your team already uses and launch them for real work.

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Acme Co
All modules Last 24h Generate brief
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
Tap a row to inspect
Recent activity
Live feed
Updated 1m ago
  • 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.
Overview Capabilities Specs Open page →
Avg Handle Time
2:41
Languages
27
Containment
87%
Status
Live
Capabilities 4 of many
  • Sub-second turn-taking
    Latency 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 context
    When a human takes over, the entire conversation, intent, and customer history transfers — no 'please tell me again why you called.'
  • Compliance-aware speech
    PII redaction, recording disclosures, and jurisdiction-specific scripts enforced at the model layer, not bolted on later.
  • Outbound at scale
    Campaigns run with rate limiting, quiet-hours awareness, auditory honor lists, and a shared answer-machine policy.
Live signal LIVE · Channel 04

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.
Overview Capabilities Specs Open page →
Channels
8
First-Contact Resolution
74%
Avg Turns
3.1
Status
Live
Capabilities 4 of many
  • Grounded in your knowledge
    Retrieval over your documents, ticket history, and product specs — with citations the user can click through to verify the source.
  • Multi-channel parity
    Same brain, every surface. The conversation that started on the website continues seamlessly in WhatsApp three days later.
  • Intent clarification
    When a request is ambiguous, the agent asks one targeted clarifying question rather than guessing and apologizing later.
  • Live-agent handoff
    Smooth transfer to a human with a one-paragraph context summary, draft reply, and the model's recommended next steps.
Live signal Channel · Web

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.
Overview Capabilities Specs Open page →
Close Cycle
2 days
Modules
11
Audit Readiness
100%
Status
Live
Capabilities 4 of many
  • General ledger that ties out
    Multi-entity, multi-currency, with sub-ledger reconciliation that runs continuously — not just at month-end.
  • Procure-to-pay
    Requisition, approval, three-way match, and vendor payment in one workflow your auditor can trace top to bottom.
  • Inventory & supply chain
    Real-time stock positions, demand forecasting, and supplier risk surfaced before the line goes down.
  • HR & workforce
    Headcount, comp, performance, and time — under one record of truth, with role-based access enforced at the data layer.
Live signal Q3 Close · Day 2

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.
Overview Capabilities Specs Open page →
Sources Wired
40+
Metrics Governed
1,200
Refresh Cadence
5 min
Status
Live
Capabilities 4 of many
  • Semantic layer with lineage
    Every metric defined once, governed centrally, and traceable from dashboard tile to source row.
  • Forecasting that's honest
    Probabilistic forecasts with confidence intervals — not a single line that always looks like growth.
  • Anomaly detection
    Continuous monitoring on KPIs that matter, with explanations for what changed and which dimensions drove it.
  • Self-serve, governed
    Operators ask questions in plain language; the system answers using the certified semantic layer, never wild SQL.
Live signal Daily Brief · 06:00

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.
Overview Capabilities Specs Open page →
Contract Types
FFP, T&M, CPFF, IDIQ
Audit Posture
DCAA-Ready
Setup
8–12 wks
Status
Live
Capabilities 4 of many
  • Contract lifecycle, cradle to closeout
    Award, mods, options, deliverables, and closeout tracked in one record. CDRLs and milestones tied to invoices and revenue recognition.
  • DCAA-ready cost accounting
    Indirect rate pools, allocation bases, and unallowable cost segregation set up to match the structure your auditor will ask for.
  • Labor distribution & timekeeping
    Compliant timesheet capture, project charging, and cost transfers — with the audit trail that survives a floor check.
  • Pipeline & business development
    Live SAM.gov and USAspending integration. ML-scored opportunity matching. Capture, proposal, and award all in one place.
Live signal Contract · W912DY-25-C-0042

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.
Overview Capabilities Specs Open page →
Success Rate
99.7%
Connectors
300+
Active Workflows
1,400
Status
Live
Capabilities 4 of many
  • Durable execution
    Workflows survive restarts, network failures, and downstream outages. Replay from last checkpoint, not from the top.
  • Human-in-the-loop
    Pause for approval, request input, or hand off entirely — the workflow waits patiently and resumes when authorized.
  • Retry & compensation
    Configurable backoff, jitter, and saga-style compensation for actions that need to be unwound on failure.
  • Observability built in
    Every step traced, every input and output captured, every failure investigable from a single pane of glass.
Live signal Runs · Last 24h

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.
Overview Capabilities Specs Open page →
Engagement
8–24 wk
IP Ownership
Yours
Team Size
3–8
Status
Live
Capabilities 4 of many
  • Domain-tuned models
    Fine-tuning, distillation, and adapter training on your data — including parameter-efficient methods that fit your inference budget.
  • Agent systems
    Multi-step, tool-using agents with planning, verification, and the supervision loops your operators trust.
  • Evaluation harnesses
    Custom evals you run continuously, so model regressions are caught in CI, not in the field.
  • Safety & red-team
    Adversarial testing against jailbreaks, prompt injection, and the failure modes specific to your domain.
Live signal Engagement · ENG-049

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.
Overview Capabilities Specs Open page →
Program Length
90 days
Platform
Sovereign
Outcome
Owned
Status
Live
Capabilities 4 of many
  • Operating model
    Roles, governance, eval policy, model release process — the institutional plumbing that turns AI from a project into a capability.
  • Platform stand-up
    Inference, retrieval, evaluation, observability, and a model gateway, deployed in your environment under your accreditation.
  • Foundation model strategy
    A defensible mix of open-weights, hosted frontier, and bespoke fine-tunes — chosen by capability fit, not vendor lock-in.
  • Eval & governance
    The evaluation harness and governance forum your auditor and your engineers will both rely on.
Live signal Program · 90-day

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.
Overview Capabilities Specs Open page →
Engagement
2–6 wks
Format
Fixed-fee
Deliverable
Brief + roadmap
Status
Live
Capabilities 4 of many
  • AI strategy & roadmap
    A clear-eyed read on where AI moves the needle for your organization, where it does not, and what to sequence first.
  • Architecture review
    Deep 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 analysis
    A 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 scoring
    Independent technical scoring of vendor proposals, with side-by-side architectures, cost models, and hidden risks surfaced before signature.
Live signal ENGAGEMENT · Cycle 04

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.
Overview Capabilities Specs Open page →
CRM Hygiene
96%
Forecast Accuracy
±4%
Rep Time Saved
11 hrs/wk
Status
Live
Capabilities 4 of many
  • Auto-logged activity
    Calls, emails, meetings — captured, summarized, and attached to the right opportunity without a rep ever opening the CRM.
  • Next-best action
    Each opportunity gets a recommended action, owner, and trigger — based on stage, signal, and what worked on similar deals.
  • Sequencing that adapts
    Multi-channel sequences that branch on engagement, pause on out-of-office, and stop on opt-out without supervision.
  • Forecast you can defend
    Probabilistic, opportunity-level forecasts with the reasoning trace your CRO can present without a leap of faith.
Live signal Pipeline · Q3

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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Introducing Agaro

The best way to put AI to work.

Always On

Handles routine work all day, so your team can focus on important decisions.

Use Real Data

Answers and recommendations come from the information your business already uses.

Take Action

Updates records, sends messages, and moves work forward with your approval.

Everything in one place

See what is happening across your business and decide what needs attention next.

See how it works
Connect your toolsCRM, ERP, support, and internal data in one place.
Set your rulesChoose what the AI can do and when it needs approval.
Review the workSee every action and keep control.
your business · Signals
● Live03:42 UTC
Events / hr
12,402
+218 vs baseline
Flagged
3
awaiting review
Suppressed
21
noise filtered
SignalSourcePosture
SignalsLive signalsReady
DecisionsTeam queueReview
ActionsManager viewPrepared
Use Cases

One clear view for every team.

Every Team

Sales, support, operations, and finance in one clear view.

One Shared View

Everyone works from the same current information.

Easy to Review

See why a decision was made and share the record when needed.

Clear business view

Bring sales, support, and operations together so your team sees the same picture and knows what to do next.

See it in action
Sales and revenueForecast demand and route leads faster.
Finance and operationsKeep finance, ERP, and daily work connected.
Field teamsGive people on the move the information they need.
your business · Decisions
03:14Z
Anomaly score · last hour
0.82
▲ +0.14 · within tolerance
EventSourceAction
SignalsPriority queueReview
DecisionsShared viewSuppressed
ActionsSource systemVerify
How it Works

From your data to real action.

Connect

Link the tools your team already uses.

Understand

AI reads your information and finds what matters.

Act

It completes the next step with your approval.

Simple three step flow

Connect your tools, let AI find what matters, then approve the next action.

See the process
01 · ConnectBring your business data together.
02 · UnderstandFind changes and important signals.
03 · ActTake the next step with approval.
your business · Workflow console
↵ to dispatch
Brief me on signals and decisions…
01 Connect Signals sources synced
02 Understand Decisions correlated · confidence 0.78
03 Act Actions 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.

Our voice agent ran the overnight desk for six weeks before anyone noticed it wasn't a person. Handoff patterns were that clean.

Virginia

Shipped to our private cloud in 11 weeks. Our previous integrator quoted eighteen months. The difference is engineering discipline.

New York

Self-serve resolution went from 31% to 74% on first contact. We retired two ticketing tools and a chatbot vendor in the same quarter.

California

Our voice agent ran the overnight desk for six weeks before anyone noticed it wasn't a person. Handoff patterns were that clean.

Virginia

Shipped to our private cloud in 11 weeks. Our previous integrator quoted eighteen months. The difference is engineering discipline.

New York

Self-serve resolution went from 31% to 74% on first contact. We retired two ticketing tools and a chatbot vendor in the same quarter.

California
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