Our voice agent ran the overnight desk for six weeks before anyone noticed it wasn't a person. Handoff patterns were that clean.
Stop Losing Jobs to Missed Calls
and Slow Follow-Up
Agaro builds AI systems for HVAC, plumbing, electrical, and roofing companies — answering after-hours calls, booking jobs automatically, scheduling techs, and following up on open quotes so your dispatcher focuses on the jobs already on the board.
Request a Briefing- 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
- 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.
248 calls handled today. Mean handle time 2:41. Escalation rate 3.2% — within nominal band.
- Deployment Standard cloud or dedicated tenant
- Latency Sub-800ms perceived
- Languages 27 production-grade
- Compliance Audit-ready
- 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.
Average resolution: 1 turn for FAQs, 3 turns for billing, 4 turns for technical. CSAT 4.6 / 5 over last 30 days.
- Channels Web, WhatsApp, Slack, Teams, SMS, IG, FB, Email
- Knowledge RAG with citations
- Languages 27 production-grade
- Latency First token under 600ms
- 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.
12 of 14 reconciliations complete. 2 exceptions surfaced for controller review. Variance within 0.4% of forecast.
- 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
- 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.
Revenue tracking 102% of plan. Two leading indicators flipped negative — see annex. CAC payback steady at 9.4 months.
- Warehouses Snowflake, BigQuery, Databricks, Redshift
- Sources 200+ pre-built
- Semantic Layer Metric definitions as code
- Forecasting Bayesian + classical
- 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.
Period 7 of 12. Funded $2.4M of $4.8M. CPFF burn 51%, on plan. 3 deliverables due in next 14 days.
- Contract Types FFP, T&M, CPFF, CPIF, IDIQ, BPA
- Cost Accounting DCAA-aligned structure
- Integrations SAM.gov, USAspending, GSA
- Compliance FAR, DFARS, CAS
- 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.
84,212 workflow executions. 99.7% success on first attempt. 246 escalated to human review per policy.
- Connectors 300+
- Execution Durable, distributed
- Throughput Millions/day
- Observability Full trace per run
- 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.
Custom retrieval pipeline + fine-tuned reasoning model for legal review. Cycle time down from 14 days to 36 hours.
- Engagement Length 8–24 weeks typical
- Licensing Standard licensed delivery
- Team Senior applied AI engineers
- Stack Cloud-first
- 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.
Week 1–4: target architecture. Week 5–10: platform stand-up. Week 11–13: handover. Week 14+: your team operates.
- Length 90-day program
- Deliverables Platform + ops + team
- Deployment Standard cloud or dedicated tenant
- Models Mixed strategy
- 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.
Architecture review delivered in 14 days. Three vendor RFPs scored. One acquisition recommended against.
- Engagement Fixed-fee, scoped
- Deliverables Written + working session
- Cleared personnel On request
- Confidentiality Mutual NDA standard
- 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.
Forecast 102% to plan. 14 deals at risk surfaced for AE review. CRM hygiene at 96% — up from 68% pre-deployment.
- CRM Salesforce, HubSpot, Dynamics
- Activity Capture Email, calendar, calls
- Sequencing Multi-channel
- Forecasting Bayesian
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Every Agaro module, tuned for home services.
AI Voice Agent for Home Services
HVAC emergencies, burst-pipe calls, and storm-damage inquiries don't wait until 8 AM. Agaro's AI Voice Agent answers every inbound call, collects job details, confirms the caller's address, and either books the appointment or pages your on-call tech — without a live dispatcher.
Conversation Bot for Home Services
Homeowners search for plumbers and HVAC techs at 10 PM on a Saturday. Agaro's Conversation Bot lives on your site and Google Business profile, qualifies the job, captures the address and issue, checks your tech availability, and confirms the appointment — before your competitor calls back.
ERP & Business Operations for Home Services
Dispatching, job costing, parts inventory, subcontractor payables, and customer history in one platform built for trades. Agaro's ERP replaces the stack of disconnected apps that make month-end close a two-day ordeal for HVAC and plumbing shops running 10 or more techs.
BI, Analytics & Logistics for Home Services
Average ticket, close rate by tech, call-to-book ratio, seasonal demand curves, parts cost per job type — Agaro's BI layer surfaces the numbers home-service owners ask their bookkeeper for and never get in time. Connect your dispatch data and see gross margin per service line.
Custom AI Software for Home Services
Off-the-shelf tools assume your processes look like everyone else's. If you have unusual dispatch rules, multi-location inventory quirks, franchise reporting requirements, or a legacy scheduling system that isn't going anywhere, Agaro engineers build the AI layer around your constraints.
GovCon ERP Platform for Home Services
HVAC, electrical, and general maintenance contractors holding GSA, base operations, or facilities contracts face cost accounting, certified payroll, and audit requirements that standard field-service software ignores. Agaro's GovCon ERP is built for trade contractors billing on government jobs.
Workflow Automation for Home Services
Estimate follow-up texts, maintenance reminder campaigns, parts reorder triggers, permit-submission reminders, review requests after job close — Agaro automates the repetitive back-office tasks that fall through the cracks when your dispatcher is managing a full board during peak season.
Enterprise AI In-House for Home Services
Multi-location HVAC groups, regional plumbing franchises, and national facilities management companies need AI that runs consistently across markets — not a patchwork of vendor tools each branch chose independently. Agaro stands up an in-house AI function with unified data, governance, and model access.
Sales Automation & CRM for Home Services
Unanswered quotes are the single largest source of missed revenue for HVAC and plumbing companies. Agaro's CRM tracks every open estimate, triggers follow-up sequences automatically, logs call outcomes, manages recurring maintenance agreements, and flags lapsed customers before a competitor earns the renewal.
Consulting for Home Services
Most home-service owners are pitched AI tools before anyone has looked at where their calls are actually dropping, which jobs are losing margin, or whether their data is clean enough to automate anything. Agaro starts with a structured audit of your ops before recommending any technology.
Where AI creates leverage for home services.
Can the AI voice agent handle emergency calls differently than routine tune-up bookings?
Yes. You define the routing rules. A no-heat call in January triggers an immediate SMS to your on-call tech and creates a priority work order. A seasonal AC tune-up request goes straight to online booking. The agent distinguishes call type based on what the caller says, not a phone tree.
Will the bot work with the scheduling software we already use?
Agaro connects to the most common field-service platforms — ServiceTitan, Jobber, Housecall Pro, and others — via API. The bot writes the job directly into your existing schedule. If your platform isn't on the standard list, Agaro's engineering team builds the integration during onboarding.
We already use Jobber and QuickBooks — why would we switch to an ERP?
Jobber handles scheduling well but has no real job costing or inventory. QuickBooks sees only the invoice, not the labor hours and parts that built it. When profit per job is invisible, you can't tell which service lines are carrying the business. An integrated ERP closes that gap without manual exports between tools.
Applied AI capability to move faster, decide sharper, and stop losing time to busywork.
Always-on agents keep the routine in motion so your team can stay forward.
Every brief, draft, and recommendation traceable to the source row.
Surfaces the next move only when the data warrants action — never noise.
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 Console
| Signal | Source | Posture |
| Patch window 04A | SCCM | Ready |
| Anomaly · sector 4-G | SIEM | Review |
| Briefing CC-22 | Command | Prepared |
One operating layer, every team
— from the front desk to the back office.
Sales, support, ops, finance — one operating layer instead of a dozen disconnected tools.
Every signal, every record, every action — same data across teams.
Replay any decision and produce evidence on demand for finance, legal, or your auditor.
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 Walkthrough
| Event | Source | Action |
| Lateral movement | EDR · sector 4-G | Review |
| DNS exfil pattern | NDR | Suppressed |
| Auth anomaly | IdP | Verify |
Three phases from signal to action,
delivered as one continuous loop.
Pull from the systems your data already lives in — CRM, ERP, support tools, databases.
Models tuned to your business, with retrieval and source-checking baked in.
Make calls, send emails, update records, draft documents — under your supervision.
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 Loop
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.
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.
The teams we deploy with,
around the world.
The questions principals ask before
they sign the engagement letter.
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
