AI Agents & Automation
We design multi-step agents around explicit policies, durable execution, and observability so your team can ship, measure, and iterate without surprise regressions in production.
Production agents with evaluable toolchains—not brittle demos.
Phases
4-phase program
Timeline
6–10 weeks after technical scope lock
Outcomes
3 target deliverables
Problem framing
Where teams lose leverage
Agent initiatives most often fail on tool reliability, ambiguous success criteria, and missing escalation design—not model choice. We align execution paths to business rules before writing core logic.
- 1
Tool failures and partial writes erode trust with operators and customers.
- 2
Underspecified guardrails create compliance and brand risk at scale.
- 3
Without tracing and replay, regressions become impossible to diagnose quickly.
Target outcomes
What this engagement delivers
Measured task completion and escalation rates against agreed baselines
Structured traces for every tool invocation with redaction policies applied
Regression suites covering prompts, tools, and policy branches prior to release
Scope
Deliverables we commit in writing
Exact backlog is tailored in discovery; below is representative of what enterprise buyers typically require for acceptance.
Tool schemas with retries, idempotency keys, timeouts, and structured error surfaces
Human-in-the-loop checkpoints for high-risk or irreversible actions
Evaluation harnesses: offline datasets, online shadow traffic, and rollback gates
Deployment patterns for staged rollout, canaries, and feature flags
Program structure
Phased delivery model
Milestones map to artifacts you can review with engineering, security, and finance stakeholders.
Week 1–2
Discovery & policy
Workflow mapping, risk tiers, success metrics, and tool inventory.
Week 2–3
Architecture
Execution graph, data contracts, observability, and security controls.
Weeks 3–8
Build & hardening
Implementation, eval loops, load testing, and failure-injection drills.
Weeks 8+
Launch & handoff
Runbooks, on-call playbooks, and knowledge transfer to your team.
Reference view
Logical architecture
Your production topology will reflect your cloud, identity, and data residency choices — this diagram communicates control points and trust boundaries we design around.
Technology
Typical stack (vendor-neutral)
We standardize on primitives your team can operate — and avoid stack-lock where it hurts maintainability after handoff.
Indicative timeline
Typical first production slice: 6–10 weeks after technical scope lock
Final scope depends on your data maturity, integration count, and compliance requirements — all defined in the written SOW.
Get a scoped estimateGovernance
Security and compliance posture
We implement technical controls and documentation suitable for enterprise procurement — not checkbox theater.
Role-based access to tools and secrets; audit logs for sensitive invocations
Data residency and retention options aligned to your policies
Documentation suitable for enterprise security review and procurement
Procurement
Statements of work, change control, and optional penetration-test windows are scoped explicitly. Legal sign-off remains with your counsel.
FAQ
Technical and commercial questions
AI Agents & Automation
Ready to scope this engagement?
Thirty-minute discovery call. Fixed written scope within a week. No open-ended hourly burn.