Ongoing Governance

Reliability Retainer: Govern AI in Production

Monthly governance for production LLM systems. After audit and sprint, keep quality and cost stable with monitoring, regression gates, and incident triage.

We measure CPST, quality, regressions, retrieval hit-rate, and tool loop budget. Dashboards, eval harness CI gates, change management, weekly review cadence.

Request Retainer Intake See pricing

Offer ladder

Audit → Sprint → Retainer (baseline, ship, then prevent regressions).

Ship fixes (4–6 weeks)

→

Reliability Retainer

Governance + monitoring

Review Before You Commit

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.

Open

Anonymized case studies

See the baseline, fixes, and measurable deltas.

Open

Transparent pricing

Understand scope, timelines, and where each offer fits.

Open

Privacy and handling

NDA-friendly, redaction-ready, least-privilege workflows.

Open

Why

AI drifts after you ship. Governance prevents regressions.

Prompts change. Docs update. Models swap. Without governance, quality and cost drift silently. The Reliability Retainer keeps baselines, regression gates, and incident triage in place so you never ship blind.

Regression gates

Eval harness in CI. Fail builds when quality or cost regresses.

Monitoring dashboards

CPST, groundedness, retrieval hit-rate, regression signals—trends and alerts.

Change management

Review prompts, docs, model changes before they hit production.

Weekly review cadence

Prioritized backlog, incident triage, stakeholder alignment.

Deliverables

What we ship each month

Monitoring dashboard, eval harness CI gates, change management, weekly review cadence.

Monitoring dashboard with CPST, quality, groundedness, retrieval hit-rate, response-time tails when relevant

Eval harness CI gates—fail builds on regression

Change management workflow for prompts, docs, models

Weekly review cadence: backlog, incidents, stakeholder alignment

Incident triage playbooks for cost spikes, latency spikes, quality drops

Monthly scorecard: quality, cost, latency trends and backlog

What we measure

Core metrics for governance

CPST, groundedness/faithfulness, retrieval hit-rate, regression signals, tool loop budget—plus response-time tails when latency matters.

CPST

Cost per successful task

Response-time tails

TTFT + end-to-end (when latency matters)

Groundedness

Faithfulness to retrieved context

Retrieval hit-rate

Citation coverage, relevance

Tool loop budget

Tool calls per request

Pricing

Monthly retainer tiers

This engagement is for teams that already know production AI needs ongoing governance. Pick a working tier, then we confirm fit, cadence, and KPIs during intake.

Essential

$8.8k / month

Best when you need visibility, a lightweight release cadence, and a technical owner outside the core team.

Core monitoring dashboard + alerting
Monthly scorecard and backlog review
Release-risk review for key changes

Choose Essential

Growth

$12.5k / month

Best for active product teams shipping regularly and needing tighter regression control.

Everything in Essential
Stronger eval cadence + regression gates
Working sessions for incidents and backlog

Choose Growth

Mission-critical

$18k / month

Best for high-risk or customer-facing AI where cost, latency, and quality drift need fast response.

Everything in Growth
Higher-touch incident triage
Deeper governance across stakeholders and releases

Choose Mission-critical

Audit and sprint are still the normal entry path. If you need diagnosis first, start with an AI Production Audit. If the fixes are still in flight, continue with the Optimization Sprint.

Engagement model

Monthly retainer. Start with audit + sprint.

The Reliability Retainer is for teams that have completed an AI Production Audit and Optimization Sprint. We provide ongoing governance so quality and cost stay stable after you ship.

3-offer funnel

1. AI Production Audit (entry) → 2. Optimization Sprint (4–6 weeks) → 3. Reliability Retainer (ongoing).

Start with Audit Optimization Sprint

Request

Request retainer intake

Share your current production state, governance need, and target cadence. We will confirm whether the retainer is the right next step or whether you still need audit / sprint first.

Privacy-safe intake (no secrets)

Name

Work email

Company / product

Role (optional)

Monthly tier

Current state

Primary governance need

Review cadence needed

Timeline

Notes (optional)

Please do not include credentials or secrets. High-level examples are enough for intake.

What happens next

We confirm fit before we commit.

We check whether you already have enough baseline data for a governance retainer.

If you still need diagnosis or shipped fixes first, we will redirect you to audit or sprint.

Privacy-sensitive teams can keep examples high-level during intake and redact logs before review.

You get a concrete recommendation on tier, cadence, and KPI ownership.

Need to compare first?

Compare all offers Start with audit instead Need fixes before governance?

FAQ

Common questions

What is the Reliability Retainer?

A monthly engagement for teams that have completed an AI Production Audit and Optimization Sprint. We provide ongoing governance: monitoring dashboards, regression gates in CI, change management, incident triage, and weekly review cadence to prevent quality and cost drift.

What do we measure on the Reliability Retainer?

We track CPST (cost per successful task), groundedness/faithfulness, retrieval hit-rate, regression signals, and tool loop budgets. For real-time systems, we also track response-time tails (TTFT and end-to-end). Dashboards show trends; alerts fire on regressions; monthly scorecards summarize progress and backlog.

How much does the Reliability Retainer cost?

The monthly retainer starts at $8.8k, with common working tiers at $12.5k and $18k depending on incident load, governance depth, and how much evaluation / monitoring work is already in place.

Who is the Reliability Retainer for?

Teams with audit + sprint done, who want ongoing stability and governance. Typical buyers: enterprises with production AI in support, legal, or compliance use cases—where quality and cost drift are unacceptable.

How does the Reliability Retainer fit into the 3-offer funnel?

Entry: AI Production Audit (1–2 weeks). Core: Optimization Sprint (4–6 weeks). Ongoing: Reliability Retainer (monthly). Start with audit to baseline; sprint to fix; retainer to govern.

Clear Next Step

Start with the smallest credible engagement.

If the problem is real, begin with the audit. If you are still figuring out fit, contact us and we'll tell you that directly.

Start with an audit Discuss fit

Clear milestonesBefore/after benchmarksRedaction-friendly intakeEnterprise invoicing available