An agent is not a chatbot. A chatbot follows a script. An agent reasons over a goal: it picks tools, retrieves context, and decides when to escalate. The hard part is not the demo. The hard part is the evaluation harness, the safety boundary, the monitoring, and the failure mode when the model gets it wrong.
Each pattern below is parameterized to your domain. We've shipped variations across banking, public sector, energy, and retail.
Handle tier-1 support across WhatsApp, web, and voice. Escalates safely to your live team.
An internal copilot for ops, finance, HR, or legal. Grounded in your policies and procedures.
Multi-step research, document analysis, and structured reporting. For analyst-heavy teams.
Read, classify, extract, flag. Contracts, invoices, KYC packets, claims, at scale.
Inbound lead qualification, outbound personalization, and CRM hygiene. Not cold-spam.
Make any internal corpus answerable. Policies, procedures, technical docs: citable, current, permission-aware.
Six disciplines, applied to every agent we ship.
Hybrid vector + keyword retrieval across your documents. Citations on every answer. No hallucinated facts from training data.
Before any agent goes live, we build the eval suite: accuracy, safety, regression. Run it on every change. Audit-ready.
Review queues, approval workflows, and clear escalation paths for any decision that affects a customer, patient, or regulated entity.
Multi-step reasoning with deterministic control flow where it matters. LangGraph patterns, not free-form agent loops.
Every agent ships with a monitoring dashboard: latency, accuracy, cost per conversation, escalation rate. No surprises in month two.
Agents deploy on your cloud account. Data stays in your perimeter. We support sovereign and on-prem for regulated environments.
A chatbot follows a scripted flow: if user says X, reply Y. An AI agent reasons over a goal, picks from a set of tools or actions, retrieves what it needs, and decides when to escalate to a human. Agents can handle open-ended queries and multi-step tasks that chatbots can't.
Yours. Every agent we build is deployed in your cloud account, with your data staying within your perimeter. We support AWS, Azure, GCP, plus on-prem deployments for the most sensitive use cases.
Production-ready agents typically take six to twelve weeks from kickoff. A working prototype appears in week one. Evaluation harness in week two. The rest is hardening, integration, and safety review.
Three layers. Pre-deployment: an evaluation harness covering accuracy, safety, and regression cases. In production: input/output filters plus human-in-the-loop review for regulated answers. Ongoing: monitoring and monthly audits against the eval suite.
You do. From day one. The agent code lives in your repository. The deployment lives in your cloud. The conversation data stays in your perimeter. We have no claim, no royalty, no platform-rent.