Why do so many AI pilots never reach production?

Three technical gaps account for most failures. First, no eval suite: pilots look right in cherry-picked demos but fail on real production inputs. Second, no observability: when something breaks at 3 AM, nobody knows what the system did or why. Third, no failover: the pilot assumes the model is always available, and production has to handle vendor outages, rate limits, and bad outputs. This service builds the layer that closes all three gaps.

What's the difference between this service and AI Agents and Workflow Automation?

AI Agents and Workflow Automation builds the agent itself. Production Readiness builds the infrastructure around the agent that lets it run safely at scale. Many engagements need both. Start with Agents if you need a new system built. Start with Production Readiness if you already have a working pilot and need to ship it.

Is Fractional Chief AI Officer different from AI strategy consulting?

Yes. Strategy consulting writes a deck and leaves. Fractional CAIO sits inside your team: it attends the board meeting, runs the AI roadmap, evaluates vendors, sits in on hiring, and owns outcomes. It is closer to a part-time executive than a consultant. The retainer structure means the incentive is a long-term working AI program, not a delivered document.

How long do Fractional CAIO engagements typically run?

We design Fractional CAIO engagements to run 6 to 18 months. Every engagement starts with a 3-month minimum to establish the cadence: board reporting, roadmap, vendor reviews. After that, it extends quarter by quarter until your team has the internal AI leadership capacity to take over. Every engagement has a clear exit plan built in from the start. When the team is ready, we hand off.

What does Managed Production Ops actually do?

Three things. First, it monitors your production AI systems and alerts on the failure modes that matter. When something breaks, we respond within business hours, to a response window agreed in the SOW. Second, it covers continuous tuning. Models drift, vendors change APIs, prompts need adjusting, and this is the maintenance work that keeps the system performing. Third, it delivers monthly reporting on uptime, latency, accuracy, drift, and cost, so you get a board-ready status update every month.

Do you replace our existing AI engineers?

No. The engagement is built to work alongside them. The typical staffing model is a lead architect plus 2 to 4 of your engineers. The lead provides senior judgment, production patterns, and accountability for the outcome. Your team owns the system after handoff, so this is not designed to create a long-term dependency. If you want to fully outsource AI operations, the Managed Production Ops tier covers that. But the hybrid model is usually the better starting point: it keeps senior judgment available without losing your team's own knowledge of the system.

Can we just do the Production Readiness Assessment and stop there?

Yes. The Assessment is a complete deliverable on its own: a written gap report, a prioritized remediation plan, and one follow-up review. If your team has the capacity to execute the remediation plan, that is everything you need. If you want the build executed for you, the Pilot-to-Production Build tier picks up where the Assessment leaves off, and 50% of the Assessment fee applies as a credit toward the Build.

AI Production Readiness and Fractional AI Leadership

The bridge most teams miss

Most enterprise AI pilots never reach production. The reason is not the model, the framework, or the data. It is the missing layer between a working demo and a system that runs around the clock with monitoring, evals, incident response, and an audit trail. This service builds that layer.

This page bundles two related but separate engagements. Production readiness engineering builds the infrastructure around an AI system so it can run safely at scale. Fractional Chief AI Officer leadership puts a senior AI leader inside your team, 1 to 2 days a week, to own the roadmap and drive execution across teams. Some teams need one. Some need both.

	Production Readiness Engineering	Fractional Chief AI Officer
What it is	We audit, build, or operate the infrastructure around an existing AI pilot: evals, observability, guardrails, failover, incident response.	We sit inside your team and own the AI roadmap, vendor decisions, hiring input, and cross-team coordination.
Best for	A pilot that demos well but cannot pass ops, security, or compliance review.	Multiple AI initiatives running with no senior person accountable for the strategy.
Format	A fixed-scope project or an ops retainer, each with a defined deliverable.	A monthly retainer, typically run for 6 to 18 months with a built-in exit plan.
Price	$15,000 to $200,000 for a project; $15,000 to $50,000 per month for managed ops.	$10,000 to $25,000 per month.

When to talk to us

You have an AI pilot that demos beautifully but cannot ship to production because operations, compliance, or security keeps blocking it.
Your team built an agent or RAG system that runs in dev, but nobody knows what to do when it breaks at 3 AM.
You have multiple AI initiatives across teams and no senior person owning the strategy or roadmap.
Your CEO or board is asking for an AI strategy and your CTO does not have the bandwidth to drive it.
You have an in-house team doing solid AI work but need senior judgment to evaluate vendor proposals or set the production bar.

Four engagement options

Pick one or combine.

Tier	Price	Timeline	What it is
Production Readiness Assessment	$15,000 to $30,000	3 to 4 weeks	Audit of your current pilot, a scored gap report, and a remediation plan
Pilot-to-Production Build	$75,000 to $200,000	12 to 16 weeks	We build the production infrastructure: evals, observability, guardrails, failover, incident response
Fractional Chief AI Officer	$10,000 to $25,000 per month	Ongoing, 1 to 2 days a week	Senior AI leadership: roadmap, vendor review, hiring input, board reporting
Managed Production Ops	$15,000 to $50,000 per month	Ongoing	Monitoring, business-hours incident response, and continuous tuning for systems already in production

Production Readiness Assessment ($15,000 to $30,000, 3 to 4 weeks)

For teams with an AI pilot that needs a path to production. This tier audits the current state and writes the playbook.

What's included:

Discovery sessions with engineering, ops, security, and product (4 to 6 hours total).
Architecture review of your current pilot: where it is brittle, what breaks first, what is missing.
Production readiness checklist scored against your system: evals, observability, fallback paths, audit logs, incident response readiness, response-time commitments, security review, compliance gates.
Gap report (12 to 20 pages): every gap, what needs to change, an effort estimate, and the ROI of fixing each so you can prioritize.
Prioritized remediation plan (30-day, 90-day, 6-month phases).
One follow-up review session (1 hour) after delivery.

Pilot-to-Production Build ($75,000 to $200,000, 12 to 16 weeks)

For teams that want the production infrastructure actually built, not just a playbook.

Everything in the Assessment, plus:

Eval suite (golden test set, regression checks, A/B framework).
Observability stack (Langsmith, Langfuse, or Helicone integration, custom dashboards, alerting).
Guardrails and safety layer (NeMo Guardrails, red-team prompt injection defense, output validation).
Audit trail infrastructure (signed event logs, explainability traces, distributed request tracing).
Failover, fallback, and rollback architecture: deterministic backup paths, retry logic, version rollback when a new model regresses on evals.
Performance-target definition and monitoring (uptime, latency, accuracy SLOs).
Incident response runbook and response-readiness training for your team.
6 weeks of post-launch tuning included.

Fractional Chief AI Officer ($10,000 to $25,000 per month)

For teams that need senior AI leadership but not a full-time hire. The lead sits inside your team 1 to 2 days a week and owns the AI roadmap.

What's included:

Weekly executive presence (board, CEO, CTO, leadership team as needed).
AI roadmap ownership and quarterly planning.
Vendor and tool evaluation before you buy.
Hiring support: interviewing senior AI/ML candidates, advising on org design.
Cross-team coordination on AI initiatives.
Direct Slack/email access for the team.
Monthly board-ready report on AI program status.

Managed Production Ops ($15,000 to $50,000 per month)

For production AI systems that need ongoing operational attention. We run them with you.

Monitoring with alerting on the failure modes that matter for your system.
Incident response within business hours, to a response window agreed in the SOW.
Monthly performance reporting (uptime, latency, accuracy, drift, cost).
Continuous tuning (prompts, evals, model upgrades, vendor changes).
Quarterly architecture review.

Guarantee

For the Pilot-to-Production Build tier: every production readiness criterion in the SOW has to pass before final invoice. If we miss any, we rebuild on our own dime.

Payment terms

Project tiers: 50% on contract signing, 25% at midpoint, 25% on acceptance. Retainers: monthly in advance. INR pricing on request for India-based clients.