AI Agent Development
Autonomous agents, copilots, and LLM-powered workflows that take real work off your team's plate — built on your data, deployed in your stack.
What's included
Agent & copilot design
Task-specific agents with clear guardrails, human-in-the-loop review, and measurable success criteria.
Workflow automation
Multi-step LLM pipelines that handle intake, triage, drafting, and follow-up across your tools.
RAG & knowledge bases
Retrieval over your documents and data so agents answer with your facts, not guesses.
Evaluation & monitoring
Test suites and production monitoring so quality is measured, not assumed.
Stack we use
Good fit if you're
Drowning in repetitive ops work — support triage, data entry, report drafting.
Sitting on documents and data your team searches by hand.
Ready to ship an AI feature but unsure where to start safely.
Use cases we deliver
Customer support agent
Resolves order, billing, and account queries end to end across chat, email, and WhatsApp; escalates edge cases with a summary.
Sales & lead-qualification agent
Responds to inbound leads instantly, qualifies against your ICP, books meetings, and keeps the CRM updated.
Operations & back-office agent
Processes documents, reconciles data, updates systems of record, and flags exceptions.
Internal knowledge & HR agent
Answers policy and IT questions from your docs and handles routine requests inside Slack or Teams.
Research & analysis copilot
Gathers information across tools, summarises, and drafts recommendations for your team to approve.
Industry-specific agents
Patient intake (healthcare), KYC review (fintech), shipment Q&A (logistics), listing content (real estate).
How the engagement runs
What you receive
- Agent architecture & tool design document
- Evaluation dataset and automated eval suite
- Production agent with guardrails and audit logging
- Integrations with your CRM, ticketing, or ERP
- Admin dashboard: conversations, actions, costs
- Runbook and handover training
Frequently asked questions
How long does it take to build an AI agent?
A focused pilot agent typically ships in 6–8 weeks: two weeks of discovery and design, three weeks building in assisted mode, and two to three weeks evaluating and enabling autonomous actions.
Which systems can the agent connect to?
Anything with an API: Zendesk, Intercom, HubSpot, Salesforce, Shopify, Stripe, Slack, Microsoft 365, Google Workspace, and custom databases. We also build tools for legacy systems.
How do you stop the agent doing something harmful?
Permissions are scoped per action, hard limits (refund caps, rate limits) are enforced in code, high-risk actions require approval, and every action is logged and reversible where possible.
What does it cost to run?
Model usage for most support or sales agents is a small fraction of the cost of a human-handled case. We project running costs in the proposal and monitor them after launch.
Can we start small?
Yes — most clients start with one intent or one workflow in assisted mode and expand once the evaluation numbers hold.
Have a workflow an agent could own?
Reply within one business day with a tailored proposal.
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