Our voice agent ran the overnight desk for six weeks before anyone noticed it wasn't a person. Handoff patterns were that clean.
Run a smarter practice
without adding headcount
From front-desk call overflow and no-show recovery to hygiene recare and multi-location DSO reporting, Agaro deploys applied AI that fits the clinical rhythm of a dental office without disrupting it.
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 dental.
AI Voice Agent for Dental
Dental front desks lose billable appointments when staff can't pick up mid-procedure. Agaro's AI Voice Agent handles inbound scheduling, hygiene recare reminders, and cancellation recovery calls 24/7 — without a hold queue or a missed callback.
Conversation Bot for Dental
Patients researching implants, Invisalign, or extraction costs expect an answer at 10 pm, not a voicemail. Agaro's Conversation Bot handles website chat and SMS, qualifies the patient, and routes warm leads to your scheduling team during business hours.
ERP & Business Operations for Dental
DSOs managing payroll, supply ordering, insurance AR, and provider productivity across multiple offices waste hours reconciling spreadsheets. Agaro's ERP centralizes operations — from supply chain to collections — in a single HIPAA-ready platform built for group dental.
BI, Analytics & Logistics for Dental
Production per provider, hygiene reactivation rate, case acceptance by treatment type, and insurance write-off trends — Agaro's BI layer surfaces the numbers DSO operators need to make staffing and growth decisions without exporting CSVs from five different systems.
Custom AI Software for Dental
Off-the-shelf dental software doesn't account for your DSO's specific credentialing process, your referral network intake form, or your group's proprietary treatment protocol documentation. Agaro engineers custom AI tools scoped to the exact workflow you can't configure away in a vendor product.
GovCon ERP Platform for Dental
Dental groups holding VA Community Care Network contracts, TRICARE agreements, or other federal dental program work face audit-grade documentation requirements. Agaro's GovCon ERP delivers compliant cost accounting, indirect rate tracking, and contract-level reporting for federally contracted dental providers.
Workflow Automation for Dental
Manual insurance eligibility verification, unconfirmed appointments, and unsigned treatment plan follow-ups consume front-desk hours that should go to patients. Agaro's Workflow Automation runs these processes on a defined schedule, flags exceptions, and routes only the items that need a human decision.
Enterprise AI In-House for Dental
DSOs with 30-plus locations moving beyond point solutions need AI they control — not another SaaS vendor with per-seat pricing and data clauses. Agaro helps large dental groups architect, deploy, and run private AI infrastructure that handles patient communication, clinical documentation support, and analytics at scale.
Sales Automation & CRM for Dental
Dental leads from Google Ads, referral partners, and website chat go cold in under an hour without fast follow-up. Agaro's CRM and sales automation tracks every inquiry, triggers immediate outreach, and manages the treatment plan follow-up sequence so no high-value case falls through because the front desk was at lunch.
Consulting for Dental
Most dental groups are sold AI tools before anyone maps the actual workflow gaps. Agaro's consulting engagement starts with operations — scheduling throughput, collections cycle, staff utilization, front-desk call volume — and identifies where automation creates measurable return before any software is selected.
Where AI creates leverage for dental.
Can the AI Voice Agent handle hygiene recare calls for patients who are 6 or 12 months overdue?
Yes. The agent works from a recall list you provide — or pulls from a connected practice management system — and places outbound recare calls with natural conversation, confirms availability, and books the appointment directly. It logs every outcome so your hygiene coordinator can review conversion rates by day or provider.
Will the bot attempt to give clinical advice or quote exact procedure prices?
No. It is configured to gather patient interest, explain general service categories, and direct specific pricing or clinical questions to the scheduling team or treating dentist. You control the script guardrails, and the bot escalates or captures a callback request any time a question falls outside its defined scope.
Does the ERP integrate with common dental practice management systems like Dentrix or Eaglesoft?
Agaro builds integrations on a project basis. For ERP deployments, we map data flows from your practice management system — including appointment, treatment, and AR data — into the operations layer. The integration scope is scoped during discovery so you know exactly what syncs before implementation begins.
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
