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AI Pilot Implementation

AI Pilot & Proof-of-Concept Implementation

Our AI pilot implementation is a fixed-scope engagement delivering one production-grade AI agent in 30–60 days. Every pilot ships instrumented with evaluation harnesses, production monitoring, human-in-the-loop checkpoints, and the governance guardrails enterprise organizations require — no subscription fees, no retainer fog, just a working prototype integrated with your data.

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What Is an AI Pilot?

An AI pilot is a time-boxed, fixed-scope project that validates whether AI can deliver measurable value for a specific workflow. Unlike open-ended 'innovation labs,' our pilots have clear success criteria, defined deliverables, and a built-in evaluation framework. In 30–60 days, you get a working AI prototype integrated with your data and systems — and the evidence to make the business case for broader adoption.

Our Rapid Deployment Process

We scope the pilot workflow, define success metrics, and identify integration points in week one. Then we execute in two-week build sprints with weekly demos and eval reviews. User acceptance testing happens with real production data. The final deliverable is a production-ready agent deployed in your environment with monitoring, tracing, and documented KPIs. Available for Irvine, Orange County, and SoCal businesses.

Fixed-Scope Pricing

Pilots range from $50K–$80K depending on complexity, number of integrations, and security requirements. No hidden fees, no ongoing subscription, no retainer fog. You pay for a defined outcome — a working, instrumented AI agent — and you own the result. It's the lowest-risk way to validate AI in your enterprise.

Example Pilot Scenarios

Common pilot use cases include: AI-assisted customer service triage (deflecting Tier-1 tickets), automated SOW and proposal drafting, sprint planning agents that groom backlogs and estimate story points, internal knowledge search bots powered by RAG, and analytics dashboards with natural-language querying. Each pilot ships with a documented expansion roadmap for scaling successful results.

What Happens After the Pilot

Successful pilots typically expand to additional workflows. Every pilot ships with documented KPIs, ROI measurements, and an expansion roadmap designed to support internal funding requests. For ongoing operation, we offer AI AgentOps at $15K/month — monitoring, retraining, evaluation, and extension of your production agents.

What you get

Production-grade agent in 30–60 days
Fixed scope and budget — no retainer fog
Eval harness with CI/CD gates
Human-in-the-loop checkpoints
Clear success criteria and KPI tracking

How we work

Step 1

Scope

Define the workflow, success metrics, and integration points

Step 2

Sprint

2-week build sprints with weekly demos and eval reviews

Step 3

Validate

User acceptance testing with real production data

Step 4

Launch

Production deployment with monitoring and handoff

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Enterprise AI Implementation

Enterprise AI implementation takes AI from proof-of-concept to production inside Fortune 500 and mid-market environments. At Implement Agentic, we address the challenges that kill 40% of agentic AI projects — data quality, permissions propagation, evaluation gaps, and change management — so your AI ships instrumented, governed, and delivering ROI from day one.

AI Workflow Automation

Implement Agentic redesigns high-friction business processes with the right mix of deterministic automation, AI assistance, and governed AI agents — then integrates them with your existing systems, instruments outcomes, and runs a managed improvement loop. Based in Irvine, California and serving Orange County, Los Angeles, San Diego, and remote North American clients.

AI Readiness Assessment

An AI readiness assessment evaluates your organization's data infrastructure, processes, and goals to determine how prepared you are for successful AI adoption. At Implement Agentic in Irvine, our two-week assessment is the fastest path from 'we should do something with AI' to a concrete, funded plan — with a closed-loop agent design, ROI model, and buy-vs-build recommendation.

Related reading

Canonical long-form references that go deeper on the patterns behind this service.

AI Readiness

AI Readiness Assessment

Maturity definitions, scoring questions, disqualifiers that cap maturity at L2, industry-by-industry positioning, comparison to NIST AI RMF / ISO 42001 / Gartner / McKinsey / MIT CISR / Microsoft / Capgemini / Forrester / IBM models, and the 0–36 month roadmap.

Agent Reliability

AI Agent Failure Modes

Reasoning, tool use, memory, prompt injection, hallucination, multi-agent, reward hacking, identity, and MCP/A2A failure modes — with the 2024–2026 incident record and the OWASP Agentic Top 10 / MITRE ATLAS / CSA AICM control map.

Packaged solutions built on this service

Pre-scoped 4–8 week pilots that put this capability into production against a named workflow KPI.

Solution

Proposal-to-SOW Automation

From discovery call transcript to a reviewable proposal and SOW in under an hour — with your pricing logic and brand voice baked in.

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Solution

Sales Discovery-to-CRM Agent

Turn every discovery call into structured CRM fields, pipeline stage updates, next-step tasks, and a follow-up email — within minutes of hang-up.

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Solution

Tier-1 Support Deflection

Deflect 40–60% of Tier-1 tickets across knowledge base, CRM, and billing — and escalate with full context, not a blank ticket.

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Insights for buyers evaluating this service

Decision frameworks for sponsors, operators, and procurement before the build.

Insight

How to Pick Your First AI Pilot: A Selection Rubric That Actually Predicts Success

Score candidate workflows on impact, data readiness, governance fit, and reversibility — and write success criteria before the build. The four-factor rubric most pilots skip.

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Insight

From AI Pilot to Production: The Checklist Most Pilots Skip

Working output is the easy half. Eval suite, kill-switch, on-call, observability, drift monitoring, versioning, and change management — the operational layer that gets pilots actually shipped.

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Insight

How to Calculate ROI on an AI Agent Pilot (Without Fooling Yourself)

Count direct labor reclaimed, error costs avoided, cycle-time value, and opportunity cost — and subtract the eval and ops costs every vendor spreadsheet hides. The defensible four-line model.

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Frequently asked questions

How quickly can I get an AI pilot started?+

Our standard pilot engagement is 30–60 days from discovery to working prototype. We can typically kick off within one week of signing, with the first demo delivered in week three.

How much does an AI pilot cost?+

Pilots range from $50K–$80K depending on complexity, number of integrations, and security requirements. Fixed scope, fixed price — no hidden fees or ongoing subscriptions.

Can I use the pilot to build the business case for broader AI adoption?+

Absolutely. Every pilot ships with documented KPIs, ROI measurements, and an expansion roadmap — specifically designed to support internal funding requests and executive presentations.

Ready to get started?

Bring us one workflow. In 20 minutes we'll help determine whether it's a good candidate for AI automation, agentic AI development, or full AI-native process implementation.

Assess This Pilot Opportunity