AI Agent Development Development
Autonomous agents that plan, execute, and report on real tasks. Autonomous workflows with tools, approvals, and full audit trails.
Built for teams like yours
Operations leaders
Automate reporting, reconciliation, and data gathering across tools.
RevOps & sales
Research, outreach prep, and CRM updates with human review.
Engineering platforms
Internal dev agents with repo and CI integrations.
Capabilities included in your build
Task planning & orchestration
Agents that break goals into steps and report progress.
Tool & API integrations
Connect CRMs, ERPs, ticketing, and internal microservices safely.
Human approval gates
High-risk actions require explicit sign-off.
Observability & tracing
Full traces of reasoning, tool calls, and outcomes.
Sandboxed execution
Limit blast radius when agents touch production systems.
GDPR & audit logging
Immutable logs for who triggered what and when.
How we ship
- 01
Discovery
We start with a structured workshop to map goals, users, constraints, and success metrics.
- 02
Design
Wireframes evolve into interactive prototypes you can test with real users before a line of production code is written.
- 03
Build
Weekly demoable increments, written tests, and code reviews — no surprises at launch.
- 04
Launch
Hardened deployments, observability, and a launch plan covering rollout, comms, and rollback.
- 05
Iterate
Post-launch we track usage, fix friction, and ship improvements on a cadence that fits your roadmap.
Engineered for outcomes, not invoices
- Automate multi-step workflows without brittle scripts
- Replace swivel-chair ops between five internal tools
- Kill-switch and budget caps on external API spend
- Weekly evals on success rate per workflow type
- Optional runbooks for on-call when agents misfire
A modern, proven foundation
We pick boring, battle-tested tools so your platform stays maintainable five years from now.
Common questions
+What can an AI agent safely do in production?
We scope allowed tools, rate limits, and approval steps in discovery — no unbounded internet access by default.
+How do agents differ from chatbots?
Agents plan and execute multi-step tasks; chatbots primarily answer questions.
+How long to ship a first agent workflow?
6–10 weeks for one high-value workflow with monitoring and rollback.
+Can agents run on schedules?
Yes — cron, queue triggers, and event webhooks are standard.
+How is spend controlled?
Per-run token budgets, model routing, and alerts when thresholds are exceeded.
Ready to build AI Agent Development?
Send us a brief — you'll hear back within one business day with next steps.