Discover and prioritize
Workflows mapped, feasibility tested on your data, use cases scored and sequenced.
Services
Our Delivery Process
Clear phases, quality gates, and stakeholder alignment so delivery stays predictable and outcomes stay measurable.
- 4phases with explicit gates
- 2 wksdemo cadence throughout
- 0big reveals — progress is continuous
Capabilities
The path from idea to operation
A proven process from problem framing to production AI and continuous improvement.
Architect and prototype
System design plus a working prototype that proves the risky parts first.
Build and harden
Production engineering with evals, security and integrations — demoed every two weeks.
Operate and optimize
Monitored launch, measured outcomes and continuous improvement loops.
The process
Risk retired early, value shown often
Our process exists to kill bad ideas cheaply and ship good ones safely — with evidence at every gate.
Phase 1–2
Prove it before you fund it
Discovery tests the riskiest assumption against your real data; architecture makes the trust boundaries, integrations and costs explicit. The gate: evidence, not enthusiasm.
- Feasibility spikes on production-like data
- Architecture with trust boundaries and cost models
- Go/no-go with kill recommendations when warranted
Groundedness
96%
Safety
100%
Task success
93%
Tone & format
91%
CI gate passedrelease promoted to production
Phase 3
Build with the safety net on
Evals gate every change, security reviews run continuously, integrations are contract-tested — and you see working software every two weeks on real data.
- Golden-set evals wired into CI from sprint one
- Fortnightly demos on production-like data
- Security and compliance reviews in-line, not at the end
Invoice exception workflowRunning
✓Extract invoice fields1.1s
✓Match against PO0.6s
Resolve mismatch with agentrunning
·Post to ERPqueued
Phase 4
Launch is the midpoint, not the finish
Staged rollout gated on quality metrics, production monitoring from day one, and improvement loops that turn usage into a better system — with outcomes reported against the original case.
- Canary rollouts gated on live quality scores
- KPI reporting against the business case
- Continuous tuning fed by production signals
99.9%Uptime
1.2sp95 latency
$0.021Cost / task
QualityCostLatencyDrift
Use cases
What the gates protect you from
Demo-ware
Feasibility on real data before any build commitment.
Scope drift
Phase boundaries with explicit deliverables and exits.
Quality surprises
Eval gates from the first sprint, not the last.
Security stalls
Reviews continuous, so launch isn't hostage to audit.
Adoption failure
Users in the loop from prototype onward.
Post-launch decay
Monitoring and improvement loops installed at go-live.
Delivery
How we engage
Flexible models — from strategy sprints to dedicated pods — with clear phases, quality gates, and ownership through production.
- Clear delivery process
- Senior engineering talent
- Security built in
- Long-term capability transfer
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1
Align
Goals, constraints, success metrics and stakeholders.
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2
Design
Architecture, delivery plan and risk controls.
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3
Deliver
Build, integrate, harden and launch.
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4
Operate
Monitor, optimize cost and continuously improve.
The phase-two gate saved us: the prototype showed our data wasn't ready, so we fixed that first instead of discovering it in month six. The build that followed shipped on time.
FAQ
Common questions
How long does each phase take?
Discovery: 2–4 weeks. Architecture and prototype: 3–5. Build: typically 8–14 depending on scope. Operate: ongoing or handed over. Every estimate comes with its assumptions written down.
Can we exit after any phase?
Yes — each phase ends with complete, usable artifacts: evidence, architecture, or working software. Exits are clean by design.
How involved does our team need to be?
A product owner a few hours weekly, domain experts for scheduled sessions, and engineers as deeply as you want capability transfer. We flex to your availability but never to zero.
What if the discovery says 'don't build this'?
We say so, with the evidence — and usually with a better-shaped alternative. Killing weak ideas early is the cheapest service we offer.
Next step
See the process on your problem
Bring one candidate use case — we'll walk you through exactly how the phases would treat it.