Healthcare
Patient intake agent
Pre-visit forms, insurance verification, triage routing. 12-min check-in → 90 seconds.
↓ 87% intake time · $1.4M / yr saved
Still running on scripts and rules? Our agentic AI solutions reason, plan, and act on their own, completing multi-step workflows across your CRM, ERP, and helpdesk end to end, with humans in the loop for what matters most.
Agents that reason, plan, and execute across your real tools not demos that stop at the API boundary.
Agents reason, plan, and execute across your CRM, ERP, helpdesk, and APIs not just one tool, not just one step.
Trained on YOUR workflowsWe instrument the baseline, build on real data, and ship to one team before expanding no endless PoC cycles.
Measurable ROI from week oneFull runbooks, governance review, and observability dashboards so your engineers maintain and evolve agents without us.
No vendor lock-inConfidence thresholds, human-in-the-loop checkpoints, audit logs, and a kill switch any non-engineer can press.
SOC 2 · RBAC · private VPCMost agents demo well but never ship; we build for reliable, real-world action.
Whoever owns the result: we build agents calibrated to your business metric.
From intake to reporting, twelve agents take real action across teams.
Pre-visit forms, insurance verification, triage routing. 12-min check-in → 90 seconds.
Extracts, validates, flags, routes. Compliance team reviews exceptions instead of every file.
Watches bookings, catches missing passports, expiring quotes, tight connections pings the advisor.
Reads carrier feeds, classifies delays, drafts customer comms, coordinates re-routing with ops.
Enriches inbound leads, scores fit, books meetings, syncs to HubSpot. Reps only see qualified.
Reads request, checks policy, decides refund/replace/decline, drafts response, writes to OMS.
Pulls from past projects, scoping notes, brand kit. Draft on the partner's desk in 20 minutes.
Answers admission FAQs 24/7, flags incomplete files, books advisor calls, hands off mid-thread. Our tutoring AI research covers the instruction side separately.
Slack-native answers from your wiki, runbooks, tickets and code. With citations & freshness checks.
From scoping to live agents, we ship with measurable outcomes on a dashboard.
Process mining with the team that does the work. Baseline the manual cost. Pick the one with fastest payback.
Eval-driven prompt + agent design. Real user inputs, your tone of voice, your edge cases. Demo on Friday.
Production integrations, SSO, rate limits, retries, fallbacks, HITL queues, observability and audit logs.
Runbooks, training, governance review, on-call drills. Optional 3-month SLA for evolution & tuning.
| What it looks like in your team | What it costs you | What an agent changes |
|---|---|---|
| Invoices, contracts, claims, onboarding docs handled by people | 4–7 day cycle times, 2–4% error rates, hard to audit | OCR + LLM extraction → routing → approvals → ERP. Cycle drops to hours; every step logged. |
| CRM, ERP, helpdesk, spreadsheets, email don't talk | Duplicate work, stale data, "let me check three tabs" | Event-driven agent on top of n8n / Power Automate; one source of truth, no rip-and-replace. |
| ChatGPT pilot · copilots · demo bots none in daily use | Leadership patience & budget evaporating | One narrow workflow shipped to one team in 6–8 weeks. Then expand. |
| Support team can't keep up with ticket volume | Slow first response, churn risk, expensive headcount | Tier-1 agent resolves 60–80% with full ticket context; complex tickets escalate with summary. |
| Legacy systems with no APIs | Automation blocked; manual workarounds everywhere | Power Automate / RPA wrapping the legacy app; modern API surface for the agent. |
| Compliance & data residency concerns | AI projects stuck in security review for months | Private VPC / on-prem deployment, SOC 2 controls, audit logs, data redaction at the edge. |
Live agents automating multi-step workflows end to end across real tools.
Deep teams with industry context - not generalists googling compliance acronyms. Each industry below has 30+ shipped projects and a partner who knows the regulator.
Telemedicine, EHR/EMR, claims automation, clinical decision support. HIPAA, HL7/FHIR, GDPR. Active partnerships with 14 hospital networks.
Core banking, neobank, payments, lending, KYC, fraud. PCI DSS, RBI sandbox, Open Banking, ISO 20022. We've shipped to Tier-1 banks in 4 countries.
Headless commerce, marketplace, omnichannel, AR try-on, AI recommendations. Shopify Plus, BigCommerce, custom. 22+ storefronts live with avg +34% AOV.
Last-mile optimisation, TMS, WMS, fleet IoT, route prediction, real-time tracking. Shipped to UPS, Alod and 11 other logistics operators.
OTT platforms, content recommendation, real-time encoding, multi-DRM, distribution at network scale. Sony Pictures, Hello Baby Direct and more.
LMS, adaptive learning, AI tutors, government portals. Shipped UKIERI for the British Council and 6 state-government education portals.
The orchestration, tool, and guardrail stack that keeps agents acting safely.
Real names, real companies, real numbers. Video on the left, written notes on the right - choose whichever feels more honest.
Although regulations prevented the site's launch, it met all requirements in terms of form and function. Fullestop's project plan charted a clear course to completion. The team's flexible, diverse talent pool enabled them to manage each stage of the project with consistent levels of skill.
Weekly demos, no surprises, and they push back when we're wrong. That last part is rare. Cut our cloud bill 47% in the first audit.
We constantly come up with top-tier resources and breathtaking
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Agentic AI solutions are built around autonomous digital workers, not scripted responders. A chatbot follows a conversation tree and answers what it's asked. An AI agent is given a goal, access to your real tools (CRM, ERP, internal APIs), and the ability to reason through a multi-step plan to get there on its own. That's the shift from "AI that can talk" to "AI that can do." Where a chatbot stops at answering a question, an agent keeps going: it checks a database, calls an API, updates a record, and confirms the outcome, all without a human relaying each step in between.
Yes, within limits you set. Our agents take goal-directed action, scheduling meetings, processing documents, updating records, without needing step-by-step instructions for each task. But "autonomous" doesn't mean unsupervised. Every agent we ship has explicit confidence thresholds and human-in-the-loop checkpoints built in, so low-confidence or high-risk decisions route to a person instead of executing blind. There's also a kill switch any non-engineer on your team can press. The goal is agents that act independently on the routine 80%, and hand off cleanly on the 20% that genuinely needs judgment.
Traditional bots answer FAQs and stop there. Our support agents go further: they securely pull order histories, initiate returns or refunds, walk a customer through a technical fix, and only escalate to a human when the issue genuinely needs one, complete with a full summary so nothing gets re-explained. In production, this typically resolves 60 to 80% of tier-1 tickets without a human touching them, while keeping CSAT stable because the agent knows when it's out of its depth. That combination, real resolution plus a clean handoff, is what separates an agent from a deflection bot.
Yes. Our sales and lead-generation agents work around the clock, qualifying inbound leads against your specific criteria, enriching them with firmographic data, and booking meetings directly on a rep's calendar, not just replying to questions when someone happens to ask. They sync natively with HubSpot and Salesforce, so reps only see leads that are already qualified and calendar-ready. Teams running this typically see SDR throughput increase several times over, since the agent is doing the repetitive qualification and scheduling work that used to eat most of a rep's day before they ever spoke to a real prospect.
Most of the manual, multi-step work sitting between your systems: invoice and claims processing, KYC document review, patient intake and insurance verification, shipment exception handling, proposal drafting. These aren't single-action tasks, they're full workflows: extract the data, validate it against policy, route it for approval, and log every step for audit. As one example, a KYC review process we automated went from a 4-day cycle to under 6 hours at 99.2% accuracy. Our AI agent implementation services start by baselining the manual version of the process so you have a real number to measure the automated version against.
This is the question we get asked first, and it's the right one. Every agent we deploy comes with confidence thresholds and human-in-the-loop checkpoints on risky steps, full audit logs, and a kill switch a non-engineer can use without waiting on an on-call developer. On the infrastructure side, we support SOC 2 controls, role-based access control, and private VPC or on-prem deployment for teams with data residency or compliance requirements. In short, secure AI agent solutions aren't a bolt-on here, they're the same guardrails we design the workflow around from day one, not something added after a pilot goes wrong.
Yes. Our AI agent services are built to integrate with what you already run, Salesforce, HubSpot, Zendesk, NetSuite, SAP, SharePoint, MS365, and custom or proprietary APIs, rather than asking you to adopt a new system alongside your old one. For legacy tools with no modern API, we wrap them with RPA or Power Automate to give the agent a usable interface without a rip-and-replace project. The agent reads and writes to your real systems from day one of production, which is also why our discovery phase always starts with an audit of your current stack, not a generic template.
Very, by design. Every agent ships with an eval harness, observability (we use LangSmith and OpenTelemetry), and regression tests, so when your process changes, you can see exactly what breaks and fix it with evidence, not guesswork. You also get full runbooks and a governance review at handoff, meaning your own engineers can reconfigure or extend the agent without coming back to us for every change, and there's no vendor lock-in if you decide to evolve the stack later. An optional 3-month SLA is available if you'd rather we handle that tuning directly.
