Pillar · AI Consulting
Enterprise AI Consulting — that ships production code
MindMap Digital is an enterprise AI consultancy that designs, builds and deploys production AI for 50+ Fortune-class customers across BFSI, healthcare, government, retail and telecom. AI strategy consulting, AI transformation programmes, AI implementation, AI compliance, AI managed services — every engagement ships running code, not a slide deck. 117 pre-built accelerators. 6–9 weeks from signed contract to production. Sovereign by default.
117 accelerators50+ enterprisesSovereign6-9 weeksNASSCOM 20269 yrs
What we mean by AI consulting
AI consulting that delivers running code, not strategy slides
Most AI consulting engagements end with a deck. Ours end with a production-deployed AI system. The reason we can ship in 6–9 weeks rather than 6–9 months is the 117-accelerator library — pre-built, production-tested components for sovereign LLM serving, RAG, agentic workflows, conversational AI, document intelligence, KYC, voice agents, IDP, and more. The consulting work is choosing the right accelerators, integrating them with the customer's estate, and putting the audit substrate in place. The engineering work is finishing the deployment to the customer's specific operational requirements.
We're the AI consultancy for regulated enterprises that can't send data to public cloud LLM APIs. Central banks, insurance carriers, hospital systems, NHS trusts, regulators. Sovereign on-premise deployment is the default architecture for every engagement — the model SAMA, the RBI Master Direction, the NHS DSPT and the EU AI Act all converge on.
Six engagement types
AI consulting services across the buyer journey
AI Strategy Consulting
Use-case prioritisation, business-case modelling, AI portfolio inventory, board-ready exposure reporting against Annex III of the EU AI Act, capability-gap diagnostics.
Deliverable: Board paper + 90-day plan
Duration: 2-4 weeks
AI Readiness Sprint
Two-week structured diagnostic across data, infrastructure, use cases, compliance, team, timeline. Outputs a readiness tier and a tailored deployment path.
Deliverable: Readiness report + use-case backlog
Duration: 2 weeks
AI Implementation / First Pilot
6-9 weeks contract-to-production. Sovereign deployment on customer infrastructure. Built from the 117-accelerator library — never from zero.
Deliverable: Production AI system
Duration: 6-9 weeks
AI Transformation Programme
Multi-quarter programme combining AI Centre of Excellence build, capability uplift, accelerator-library rollout, and structured change management across the lines of business.
Deliverable: Operating AI CoE + portfolio
Duration: 6-18 months
AI Compliance & Audit (EU AI Act)
Articles 9-15 evidence collection, Annex IV technical documentation, FRIA (Article 27) preparation, ongoing post-market monitoring (Article 17). The 90-day path from standing start to audit-survivable.
Deliverable: Compliance evidence pack
Duration: 90 days
AI Managed Services
Long-term operational responsibility for the AI platform — model upgrades, eval refresh, integration maintenance, accelerator additions — against a defined SLA. Recurring fee rather than project fee.
Deliverable: Operated platform + SLA
Duration: Ongoing
Why MindMap
Why enterprises choose us over generalist AI consulting firms
We ship code, not decks
Most AI consulting engagements deliver slides. MindMap delivers production-deployed accelerators. 117 of them, with measurable customer outcomes attached to each.
Sovereign by default
Every accelerator ships with on-premise, air-gapped deployment as the default architecture. The only acceptable model for regulated buyers (banks, hospitals, government) under SAMA, RBI, NHS DSPT, and the EU AI Act.
6–9 weeks, not 6–9 months
The 117-accelerator library means we never start from zero. Median deployment to first production AI system: 11 days for the platform plus the use-case build running in parallel.
Built where we said we would
50+ Fortune-class customer references across BFSI, healthcare, government, retail, telecom. India, UK, EU, Gulf, Africa, North America, APAC. NASSCOM Tech Excellence 2026 winner.
Engineering DNA
Led by engineers who ship enterprise AI for a living. We don't have a separate engineering function we hand-off to — the consulting team is the engineering team.
Regulated-industry specialists
Most of our customers are central banks, insurance carriers, hospital systems, regulators. We know what their compliance, audit and operational expectations actually look like in production.
Industry practices
AI consulting by industry
Specialist consulting practices for the regulated industries where AI deployment is genuinely difficult.
AI Consulting for BFSI
Sovereign LLMs for tier-1 banks · KYC + OnboardX · ChatNext WhatsApp banking · AML and dispute automation
Open the practice →
AI Consulting for Healthcare
DocuMage clinical document processing · Prior Auth Accelerator · Rx Compliance · NHS DSPT-ready deployments
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AI Consulting for Government
Sovereign citizen-service chatbots · FOI-disclosable AI · multilingual agents · air-gapped deployments
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Generative AI Consulting
LLM strategy + reference architecture · open-weights model selection · evaluation harness · sovereign deployment
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Conversational AI Consulting
Chatbots · voice agents · WhatsApp banking · 12-language deployment · 65-70% sustained deflection
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EU AI Act Consulting
Articles 9-17 evidence · Annex IV documentation · FRIA prep · 90-day path to audit-survivable
Open the practice →
FAQ
AI consulting — the questions buyers ask
What is enterprise AI consulting?
Enterprise AI consulting is the practice of helping large organisations identify, design, deploy and operationalise AI systems that create measurable business value. MindMap Digital differs from generic AI consultancies in that we ship production code rather than strategy decks — every engagement results in a deployed AI system, not just a recommendation. Our 117-accelerator library means we never start from zero; first pilot to production typically takes 6–9 weeks rather than 6–9 months.
What kind of AI consulting services do you offer?
AI Strategy Consulting, AI Readiness Sprint (2-week diagnostic), AI Implementation / First Pilot (6-9 week production deployment), AI Transformation Programme (multi-quarter Centre of Excellence build), AI Compliance & Audit for EU AI Act / RBI / SAMA, and AI Managed Services for long-term operational responsibility. We also offer specialist consulting for Sovereign AI, Agentic AI, RAG, Document Intelligence, Conversational AI and Voice AI.
How is MindMap different from other AI consulting firms?
Three differences. (1) We ship production code, not strategy slides — every engagement deploys real AI. (2) We default to sovereign on-premise deployment — the architecture regulators actually accept, and the model we use at 50+ regulated-industry customers. (3) Time to production is 6–9 weeks rather than 6–9 months — the 117-accelerator library means we don't start from zero. NASSCOM Tech Excellence 2026 winner for Healthcare AI.
Who are your typical customers?
50+ Fortune-class enterprises across BFSI (tier-1 and regional banks, insurers), healthcare (hospital systems, payers, pharma), government (central agencies, regulators), retail, telecom, manufacturing. Geographically spread across India, the UK, the EU, the Gulf, Africa, North America and APAC. Most engagements are in regulated industries where the customer can't send data to public cloud LLM APIs — that's the specific buyer profile we serve.
How quickly can an AI consulting engagement start?
A scoping conversation can happen within a week of the first contact. Once a statement of work is signed, the 2-week AI Readiness Sprint can begin immediately, and the 6–9 week First Pilot engagement is scoped to reach production from contract — because our 117-accelerator library means we never start from zero. For larger AI transformation programmes the planning and team mobilisation typically takes 3–4 weeks before substantive build starts.
Do you offer AI consulting for specific industries?
Yes. Specialist practices for BFSI (sovereign AI for central banks, insurers; KYC and OnboardX; voice and WhatsApp banking with ChatNext; AML and dispute automation), healthcare (DocuMage clinical document processing; Prior Auth Accelerator; Rx Compliance Stocker for pharmacies), government (sovereign citizen-service chatbots, FOI-disclosable AI, multilingual agents), retail and telecom. Every industry practice runs on the same sovereign-by-default architecture.
Do you provide AI consultants on-site, or only remote?
Both. We have engineers and consultants in Hyderabad (HQ), Bengaluru, Noida (India), Dubai (UAE), London (UK), and Lewes, Delaware (USA), and we deploy on-site at customer locations across these regions. For early engagement work and ongoing managed-services delivery, hybrid models with a mix of on-site senior consultants and offshore engineering are the most common pattern. We've delivered fully on-site for the strictest air-gapped customers.
What does an AI consulting engagement cost?
Indicative ranges: AI Strategy Consulting €40–80k (2–4 weeks). AI Readiness Sprint €40–80k (2 weeks). First Pilot €180–340k (6–9 weeks, including the platform deployment and the first use case). Sovereign platform deployment €220–450k depending on architecture. AI Transformation Programme is custom-scoped, typically €1.5–5M annually. Managed Services run €30–80k/month against an annual contract. We share the full cost build-up on a scoping call.
Book an AI consulting scoping call
20 minutes. No deck. The engineering team that will actually build the system on the call with you.