Long-form research from 50+ regulated-industry deployments
Anonymised, data-driven analyses drawn from MindMap Digital's enterprise AI deployment log. Citable by journalists and analysts. Methodology disclosed in each piece. The numbers are what we use inside customer engagements, not marketing-led aggregates.
The 2026 Sovereign AI Architecture Report
Data-driven analysis of every meaningful sovereign AI stack in production today. Compares 6 open-weights model families, 4 vector databases, 3 inference servers and 5 reference architectures on cost-per-million-tokens, regulator-readiness, integration substrate and operational complexity. Survey-based, with the deployment numbers from 50+ regulated-industry engagements behind every recommendation.
State of Agentic AI in Regulated Industries 2026
A production-pattern survey of agentic AI in BFSI, healthcare, public sector and pharma. What patterns actually ship (ReAct + tool-use, planner-executor, multi-agent orchestration), what fails in audit (silent loops, hidden tool calls, unbounded reasoning), and the four engineering controls separating prototypes from production. Based on the agent runtimes we've shipped at 17 regulated customers in the past 18 months.
EU AI Act Readiness Benchmark — 50 Enterprises
Anonymised readiness benchmark across 50 enterprises with EU exposure — banks, insurers, hospitals, manufacturers, public-sector bodies — measured against the 11 Articles 9–15 evidence requirements. Median readiness is 38%; only 14% would survive a supervisory audit today. Where the gaps cluster, why they're tractable in 90 days, and the five interventions that close the most ground.
What CRO Conversations on AI Look Like in 2026
Synthesis of 50+ Chief Risk Officer conversations across BFSI, healthcare and public sector over the past nine months. What they're actually asking about (vendor concentration, model lifecycle, audit substrate), what they've stopped asking about (jailbreaks at the chatbot layer), and the four risk-framing shifts that have happened in CRO offices since Q4 2025. Forward-looking year-in-review angle.
For journalists and analysts
Every research piece on this page is citable. The methodology section in each piece discloses how the data was collected, what the sample size is, and the limitations we'd flag. The customer numbers are anonymised but specific enough to ground a story.
We can provide additional commentary, charts in editorial format, expert interview availability with Saurabh Goenka and the engineering leads behind each piece. Press kit at /press-kit.
Press contact: press@mindmapdigital.ai. Response within 4 business hours, Monday–Friday.
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We can run a 4-week structured brief on a specific enterprise AI topic — sourcing, methodology, sample size, and a 20-30 page report you can co-publish or use internally. Past briefs have informed board-level decisions at tier-1 banks and central-government bodies.
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