Bespoke AI systems built for your exact workflow.
We design and build custom AI systems—voice agents, internal copilots, and workflow automation—scoped to your constraints, integrated with your stack, and operated with guardrails from day one.
Typical deployment: 4-8 weeks | Available after completing the 14-Day Sprint
Good fit when...
No off-the-shelf tool fits your workflow, or you need AI deeply integrated with your specific systems and processes.
- Voice agents for calls + routing
- Internal copilots + workflow automation
- Knowledge systems + retrieval
What we build
Custom systems that fit your stack, reduce manual work, and create reliable outcomes.
Voice agents
AI voice agents that handle repeatable calls—intake, qualification, scheduling, triage—with human handoff and guardrails.
Internal copilots
Agent-powered interfaces that let teams query systems, generate drafts, and take actions—grounded in your data.
Workflow automation
End-to-end process automation: intake, routing, approvals, and follow-ups connected to your existing systems.
Knowledge + retrieval
Search your docs, tickets, and SOPs with relevance and citations so answers are grounded and auditable.
Integration layer
CRM, helpdesk, calendar, Slack, databases, and APIs connected so work ends as a real record—not a message.
Guardrails + monitoring
Evaluation harnesses, logging, human-in-the-loop checkpoints, and monitoring so the system improves over time.
Build process
What's included
A scoped delivery: discovery, build, integrations, and quality gates.
Discovery + system design
We map the workflow, define boundaries, choose the architecture, and spec the integration surface—before we code.
Build + integrate
APIs, data models, permissions, and secure auth so the system can safely act inside your stack from day one.
QA + phased rollout
Test scenarios, acceptance criteria, and gradual rollout so reliability is proven before scope expands.
Delivery
A build process that stays grounded
We ship a stable v1, then expand scope only after reliability is proven.
Delivery
Step 1
●Discover + scope
We map your workflow end-to-end: triggers, inputs, systems, handoffs, and exception paths. Then we define the smallest useful v1.
Step 2
●Design the system
Architecture, data flow, permissions, guardrails, and escalation rules—designed as a system, not just prompts.
Step 3
●Build + integrate
We ship a working system with integrations, logging, and the handoff paths your team needs for production use.
Step 4
●Launch + iterate
Phased rollout, real-world monitoring, and feedback-driven iteration. We expand scope only after the v1 is stable.
Common questions
Clear answers. No hand-waving.
How is this different from deploying an off-the-shelf tool?+
Off-the-shelf tools solve general problems. Custom solutions solve your specific workflow—with your data, your systems, your rules, and your edge cases built in.
Do you build voice agents?+
Yes. Voice agents are one of the most common custom solutions we build—for intake, qualification, scheduling, support triage, and routing. They're designed with conversation flows, guardrails, and human handoff.
What stack do you build on?+
It depends on the problem. We use the right tools for the job and integrate with what you already run. We prefer to introduce new components only when they reduce complexity.
How do you keep custom systems reliable?+
Tight scope, explicit guardrails, evaluation harnesses, logging, and human-in-the-loop checkpoints. Reliability comes from boundaries and measurement—not hope.
Next step
Ready to build something that fits your workflow?
Tell us the workflow, systems, and constraints. We'll propose a scoped v1 with clear acceptance criteria and a phased rollout plan.