How we work
Our methodology — discover, architect, build, scale
A rigorous four-phase approach that takes operations from manual to autonomous in 90 days — with governance, observability, and ROI baked in from day one.
One method, four phases, measurable outcomes
Most agentic AI engagements stall because they treat autonomy as a technology problem. We treat it as an operational transformation. Each phase produces concrete deliverables, has a defined exit criteria, and connects directly to a business outcome you can measure.
From the first kickoff to the first agent in production, our average timeline is 90 days. From production to fully scaled operations, another 90. We do not believe in perpetual pilots.
"Methodology is what separates a working prototype from an autonomous operation. The phases exist to compress risk and accelerate compounding returns."
Phase 1 · Weeks 1–3
Discovery & assessment
We map your existing workflows, quantify the cost of manual operations, and identify the highest-leverage automation opportunities. We come out the other side with a ranked portfolio of candidate workflows, each with a hard ROI projection.
Duration
2–3 weeks
Who's involved
Engagement Lead, Operations Architect, your line-of-business owners
Deliverables
- →Operations heatmap — every recurring workflow scored on volume, variability, and cost.
- →Process inventory — documented as-is flows for the top 10 candidate workflows.
- →Automation portfolio — ranked list with effort, payback period, and risk profile.
- →Stakeholder map — RACI for every system, owner, and approver involved.
- →Phase 2 charter — selected workflows, success metrics, executive sign-off.
Phase 2 · Weeks 4–6
Architecture & design
We design the agent topology, governance framework, integration patterns, and observability stack. Compliance is not an afterthought — it is the substrate every agent runs on.
Deliverables
- →Agent topology diagram — orchestrator, sub-agents, tool catalog, decision boundaries.
- →Governance framework — approval gates, escalation paths, human-in-the-loop triggers.
- →Integration blueprint — every system, API, and data contract the agents will touch.
- →Observability plan — decision logs, metrics, alerting thresholds, audit trail design.
- →Security review — data handling, secrets, role-based access, compliance posture.
Duration
3 weeks
Who's involved
Solutions Architect, Security Lead, your IT, security, and compliance teams
Phase 3 · Weeks 7–11
Build & validate
Agents are built, integrated, and tested against real workloads in a controlled shadow environment. We tune until the system meets or exceeds the success metrics defined in Phase 1.
Duration
4–5 weeks
Who's involved
Build squad (3–5 engineers), QA Lead, your operational SMEs
Deliverables
- →Production-grade agents — deployed in shadow mode against live data.
- →Integration layer — connectors to every upstream and downstream system.
- →Validation report — accuracy, throughput, and cost vs. baseline benchmark.
- →Runbook — incident response, escalation, monitoring playbook.
- →Go-live readiness review — joint sign-off with your operations and risk teams.
Phase 4 · Weeks 12+
Scale & optimize
Production rollout with full observability. We continuously tune, expand coverage to adjacent workflows, and report quarterly on outcomes against the original business case.
Deliverables
- →Production cutover — phased rollout with rollback paths and human review.
- →Operations dashboard — real-time view of every agent decision, cost, and exception.
- →Optimization cadence — bi-weekly tuning, monthly performance reviews.
- →Quarterly business review — outcomes vs. baseline, expansion opportunities.
- →Knowledge transfer — your team owns the system, we stay on retainer.
Duration
Ongoing
Who's involved
Customer Success Lead, dedicated SRE, your operations and finance teams
Walk through the methodology with us
Book a discovery call and we'll show you exactly how the four phases would apply to your operations.
Book Discovery Call →