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AI Consulting & Implementation

The AI-consulting template that turns LLM curiosity into shipped production workflows.

AI proposals fail when they sound like a Demo Day pitch. This template anchors on workflow ROI first, vendor selection second, and ongoing eval / cost optimization third — the order companies actually buy in. Useful for any shop building on Claude, OpenAI, open-source, or hybrid stacks.

Investment structure

Three pricing tiers, edit-in-place.

Setup fee + monthly retainer. Round numbers. Each tier includes everything below it plus specific upgrades. The middle tier is recommended — most clients pick it.

AI Audit

Companies exploring AI but unsure where it actually moves the needle

₹0/mo
+ ₹5,000 setup · 0-month minimum
  • AI-readiness assessment of 5 workflows
  • Build vs buy recommendations per use case
  • Vendor shortlist (Claude / OpenAI / open-source) + cost model
  • 30-page report + 90-min walkthrough
  • ROI projections per workflow
Recommended

Pilot Build

Picking one high-value workflow and getting AI in production within 8 weeks

₹4,500/mo
+ ₹15,000 setup · 6-month minimum
  • Everything in AI Audit
  • 1 production AI workflow shipped (RAG, agent, or custom pipeline)
  • Eval framework: accuracy + latency + cost monitoring
  • Internal training: 2 sessions on prompt engineering + tool use
  • Monthly: tune prompts, swap models, add guardrails

AI Embedded

Becoming the AI-native version of your industry

₹12,000/mo
+ ₹35,000 setup · 12-month minimum
  • Everything in Pilot Build
  • 3-5 AI workflows shipped + maintained
  • Custom internal AI tooling for non-technical teams
  • Dedicated AI engineer + part-time prompt eng
  • Monthly model-cost optimization (typical 30-50% savings)
  • Quarterly model migration as new models ship

What's in this template

Cover, Executive Summary, Understanding Your Business, Proposed AI Engagement, Our Implementation Method (Workflow Audit → Vendor Selection → Pilot Build → Production Rollout), Timeline, Investment (3 tiers), Why Us, Case Study, Next Steps.

How to price AI implementation in 2026

Audit: $5K fixed — 30-page report, vendor recs, ROI projections. Pilot: $15K setup + $4.5K/mo — one workflow shipped + tuned + monitored. Embedded: $35K setup + $12K/mo — 3-5 workflows + dedicated AI eng + quarterly model migrations. India: ~₹2L / ₹5L+₹1.5L/mo / ₹12L+₹4L/mo. Common pitfall: don't quote hourly — clients can't predict spend on something they don't understand yet.

Common mistakes this template fixes

1) Leading with model names — clients don't care about Claude vs GPT-4. Lead with the workflow ROI. 2) No eval framework — every AI project that ships without accuracy + latency + cost monitoring degrades silently. 3) Ignoring cost optimization — month 6 model bills surprise the client. 4) Skipping internal training — the team can't maintain what they don't understand.

When to use this template

You're pitching ongoing AI work — not a one-off chatbot. Client has either internal data they want to leverage, a manual workflow they want automated, or a product feature they want to ship. They want a partner who'll think about safety + cost + drift, not just prompt-engineer.

Editable in AgencyPitch

Swap RAG ↔ agents ↔ fine-tuning. Adjust workflow count per tier. Specify vendor preference (Claude / OpenAI / open-source). India visitors auto-see INR pricing. AI rewrites in your voice.

The 10 sections in this template

  1. 01Cover
  2. 02Executive Summary
  3. 03Understanding Your Business
  4. 04Proposed AI Engagement
  5. 05Our AI Implementation Method
  6. 06Timeline
  7. 07Investment
  8. 08Why Us
  9. 09Case Study
  10. 10Next Steps

Send your next other proposal in 5 minutes.

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