Every AI programme that fails, fails for a reason that was visible before it started. The Gap Analysis makes those reasons visible first — scored, prioritised and costed — so your investment lands where it will actually return.
Each dimension is assessed against a five-level maturity scale, evidenced through interviews, document review and system walkthroughs — the same way an audit gathers evidence.
| Dimension | What we examine | Typical gap we find |
|---|---|---|
| Technology | Current systems, integration readiness, cloud posture, licensing and technical debt that will block AI workloads. | Legacy ERPs with no API layer. |
| Data | Data quality, availability, ownership, lineage and whether the data AI needs actually exists in usable form. | Critical data trapped in Excel and email. |
| People | Leadership sponsorship, champions, resistance points and the organisational appetite for change. | Enthusiasm at the top, anxiety in the middle. |
| Processes | Which processes are documented, standardised and stable enough to automate — and which need fixing first. | Automating a broken process, faster. |
| Governance | AI policy, accountability structure, model approval workflow, incident response and board oversight. | No AI policy at all. This is the most common gap in India today. |
| Security | Data-leakage exposure from AI tools, access controls, vendor security and shadow-AI usage already happening. | Staff pasting client data into free chatbots. |
| Compliance | DPDP Act obligations, sector regulations, contractual data restrictions and cross-border data flows. | Consent and purpose-limitation blind spots. |
| Skills | Current capability inventory, training needs by role, and the build-vs-hire-vs-partner decision. | One "AI person" carrying the whole organisation. |
| ROI | Baseline costs, benefit hypotheses, measurement design — so value is provable, not asserted. | No baseline captured before the project starts. |
| Roadmap | Sequencing, dependencies, quick wins vs. structural moves, and a realistic 12–24 month plan. | Everything planned as phase one. |
Leadership interviews, process walkthroughs, system inventory, data-landscape review and a confidential staff survey on actual AI usage (the shadow-AI picture is always revealing).
Each dimension scored against the maturity scale. Current state vs. target state defined with your leadership team — the target reflects your strategy, not a generic ideal.
Prioritised initiative list, sequenced 12–24 month roadmap, indicative budgets, quick-win pilots and a value-realisation model with baselines your CFO will accept.
A rough view of what repetitive work costs you annually — and what roughly 45% automation of it could return.
Book a scoping call. We'll tell you in 30 minutes whether the full Gap Analysis is right for you — and if it isn't, we'll say so.