Baseline the system. Ship the fixes. Prevent the next regression.
This is the operating model behind our audit, sprint, and retainer. It exists to remove guesswork, make improvements provable, and leave the team with controls it can keep using.
Buyers read this page to understand how we work, in what order, and what their team keeps after each phase. That should be clear before any commitment.
Buyer view
What this page should clarify
If you do not trust the metrics yet, start with audit.
If the dominant failure modes are already obvious, move into the sprint.
If fixes are live and drift is the next problem, move into the retainer.
Review the proof layer
Offer ladder
Audit → Sprint → Retainer (baseline, ship, then prevent regressions).
Buyers do not need more slogans. They need concrete artifacts, clear scope, and an honest view of how delivery works.
Sample deliverable
Review the audit output format before you buy.
OpenAnonymized case studies
See the baseline, fixes, and measurable deltas.
OpenTransparent pricing
Understand scope, timelines, and where each offer fits.
OpenPrivacy and handling
NDA-friendly, redaction-ready, least-privilege workflows.
OpenPrinciples
The method is simple on purpose
Every engagement follows the same logic. The system is measured, the dominant failure is isolated, the fixes are validated, and the controls stay behind.
Baseline before opinion
We do not treat anecdotes as evidence. The first job is to measure quality, cost, latency, and failure patterns by cohort.
Fix root causes, not symptoms
Wrong answers can come from retrieval, context assembly, generation, tools, or release drift. The work starts by isolating the dominant constraint.
Leave operating controls behind
The goal is not a deck. The goal is evals, scorecards, regression gates, and dashboards your team keeps using after we leave.
Three phases
The order matters
Most AI engagements fail because teams skip the order: they jump into fixes before establishing a baseline, or they ship fixes without adding release controls. This sequence avoids that.
The Diagnosis
Audit and baseline
We instrument the system, inspect traces, review failures, and build a decision-ready baseline for quality, cost, and latency.
- Cost, latency, quality, and cohort-level visibility
- Failure taxonomy with root-cause mapping
- Roadmap prioritized by impact, risk, and effort
The Fix
Optimization Sprint
We ship changes across prompts, retrieval, routing, caching, serving, and controls, then validate the impact with before / after evidence.
- PRs shipped against 1-2 dominant constraints
- Golden set and eval harness for measurable change
- Benchmarks that prove cost, latency, or quality gains
The Control Layer
Reliability Retainer
Once the system is working, the problem becomes drift. This phase adds governance, regression gates, dashboards, and incident review cadence.
- Monitoring across cost, quality, and latency
- Regression gates in CI and release controls
- Weekly / monthly governance to prevent silent drift
Package context
How the methodology maps to the offers
The method is consistent, but the depth changes depending on what the buyer needs next: diagnosis, fixes, or governance.
Core Audit
Use when the team needs clear diagnosis and a defensible next step quickly.
View packageDeep Audit
Use when the system needs deeper retrieval, pipeline, cost, or risk analysis before implementation.
View packageOptimization Sprint
Use when the dominant failures are already visible and the team needs shipped fixes with proof.
View packageReliability Retainer
Use when the system is already in production and needs controls to stop regressions and drift.
View packageWhat strong buyers want
Proof that survives the next release
The methodology matters because it determines whether the next model swap, prompt change, or corpus update becomes a controlled release or another trust incident.
Deliverables that the team can operate after the engagement ends
Before / after benchmarks tied to real failure modes
Evaluation and monitoring that catch regressions before customers do
A direct recommendation on whether to stay in audit, move to sprint, or shift to governance
Next step
If the baseline is unclear, start there.
The cleanest entry point into this method is still the audit. It establishes what is broken, how large the gap is, and whether the next move should be a sprint or a governance path.