AI & Data
AI Agent Development
Tool-using AI agents wired to your systems with guardrails, evaluation, and operator controls.
AI Agent Development builds assistants that take actions—not only chat. We design tool access, permission boundaries, memory/context strategy, and evaluation loops so agents stay useful inside your operational constraints instead of improvising unsafely across production systems.
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Who it’s for
- • Product teams embedding agents into workflows
- • Ops teams automating multi-step research and actions
- • Companies replacing brittle scripts with guided agents
Problems we address
- • Chatbots cannot act on internal systems safely
- • Prompt-only demos fall apart on real edge cases
- • Nobody can evaluate whether the agent improved
Expected outcomes
- • Agent architecture with explicit tools and permissions
- • Human approval gates for high-impact actions
- • Evaluation set and iteration loop for quality
Capabilities
Concrete engineering capabilities included in a typical engagement for this service.
Agent planning and tool-calling design
Integration with internal APIs and knowledge sources
Guardrails, allowlists, and audit logging
Human-in-the-loop approval paths
Evaluation datasets and regression checks
Operator consoles for inspecting runs
Technology
Representative technologies used for this service. Final stack depends on your estate.
- OpenAI / Anthropic / open models
- LangChain / custom orchestration
- Vector stores
- Your internal APIs
- Postgres
- Observability tooling
Architecture
AI application flow
User requests through the application into model APIs, tools, and storage.
Deliverables
- • Agent design document and threat boundaries
- • Implemented agent with tool integrations
- • Evaluation notes and known limitation list
- • Operator runbook and escalation path
- • Handover for prompt/tool iteration
Out of scope
- • Unattended production changes without approval gates
- • Claims of fully autonomous business operation
Timeline
Typical timeline
3–8 weeks
Timeline depends on scope, access, and dependencies—not a delivery guarantee.
Process
A clear delivery path from discovery through handover and optional support.
01
Discovery
Goals, constraints, success criteria, and current-state review.
02
Architecture
Target design, interfaces, risks, and delivery sequence.
03
Implementation
Incremental build with visible progress and documented decisions.
04
Testing
Functional checks, failure paths, and acceptance criteria validation.
05
Deployment
Controlled release to staging and production with rollback paths.
06
Handover
Runbooks, access notes, and operator/admin walkthrough.
07
Support
Optional hypercare window or retainer continuity after go-live.
Custom engagement
Pricing depends on architecture, traffic profile, and integration depth. Share your requirements for a scoped quote.
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Related work
Example / concept projects shown for illustration unless otherwise verified.
FAQ
No. We design for bounded autonomy, logging, and human oversight on sensitive actions. Quality is improved through evaluation, not promised as perfect accuracy.
Ready to build?
Tell us about your environment, constraints, and target outcomes. We’ll recommend a package or a scoped quote.