AI Agent Development
Agents that complete workflows, not just conversations.
We design and ship AI agents that execute real business processes - qualifying leads, resolving support tickets, handling calls, processing documents - with the orchestration, state management, and human checkpoints that production systems require.
What’s included.
Support and service agents
Agents that answer from approved policies, retrieve order and account data, and escalate sensitive cases to your team with full context.
Sales and intake agents
Qualification across web, chat, and voice: structured questions, scoring, CRM write-back, and routing to the right person with notes attached.
Voice agents
Inbound and outbound calling agents that qualify, book, remind, and follow up - with transfer rules and structured call summaries.
Multi-agent orchestration
LangGraph-style architectures with state management, error handling, evaluation suites, and observability - designed for operations teams, not demos.
Systems we work with
How it runs.
Audit
We map your current systems, data sources, and the workflow you want to change, then define the success metric with you before anything is built.
System map · Data readiness review · Success criteria document
Pilot
A fixed-scope, fixed-price build of the core working loop in 4-6 weeks. Working software your team can test against real cases, not a slide deck.
Working pilot system · Evaluation results · Pilot-to-production plan
Integrate
We wire the system into your stack - CRM, ERP, databases, telephony, internal tools - with access controls, logging, and human-review checkpoints.
Production integrations · Access and audit controls · Runbook
Scale
90 days of post-deploy tuning are included. We review real usage, fix edge cases, and hand over a system your team can operate and extend.
Usage reviews · Documentation · Handover and training
What you get out of it.
Agents constrained to your business rules, with escalation paths for everything else.
Structured data written back to your systems - not transcripts left in another inbox.
Evaluation and monitoring so you can see accuracy, coverage, and failure modes.
A system your operators control: prompts, rules, and knowledge sources they can update.
Common questions.
How do you stop an agent from making things up?
Grounding and constraint. Agents answer only from approved knowledge sources, cite what they used, refuse outside their scope, and escalate to humans on low confidence. We ship evaluation suites that measure this before and after launch.
Can agents hand off to our team?
Yes - handoff is designed first, not bolted on. Urgency rules, confidence thresholds, VIP routing, and full-context transfer to your existing tools.
What channels can agents operate on?
Web chat, WhatsApp, voice calls, email, and internal tools like Slack - usually starting with the single channel where you lose the most time or leads.
How long until a working agent?
A scoped pilot agent against one workflow typically ships in 4-6 weeks, including integration with your data sources and a measured evaluation against agreed success criteria.
Book a strategy call.
30 minutes, engineers on the call, no deck. We’ll map your workflow and tell you honestly whether AI pays back - and what a fixed-price pilot would look like.
Or tell us about the project
We reply within one business day.