Most AI programmes fail between pilot and production. That's where we operate — identifying the opportunity, building the system, deploying it into production and remaining accountable for the outcome. UK-led. India-based engineering team. You own the IP.
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Big Four consultancies are too expensive and too senior-light at delivery. Boutique build shops can't advise. Most mid-market AI programmes fail at the seams between firms. We own every stage — and the IP transfers to you.
Every MintedMind system connects your existing data sources, applies the right AI methods, surfaces decisions to your people — wrapped in governance your board can defend. Code, models and documentation transfer to you at go-live.
Pick a use case to inspect its full-stack delivery — advisory framing through ongoing maintenance — without leaving this page. Filter by engagement tier to narrow the view.
Start with a no-obligation executive briefing to map your AI posture against your commercial priorities.
Assess, Deploy, and Sustain are how we package the work commercially. Underneath sits a single full-stack delivery method — advisory, scoping, build, go-live, maintenance — that we own end-to-end. No hand-offs. No second vendor. IP transfers to you.
Complete regulatory architecture — EU AI Act Article 6 classification, NIST AI RMF gap analysis, three-lines-of-defence mapping, accountability design, and a board-ready compliance roadmap. The foundation before any AI investment decision.
Governance architecture for enterprises deploying autonomous AI systems. Defines capability boundaries, human oversight protocols, escalation architecture, multi-agent accountability chains, and the controls required for risk committee sign-off.
We map your systems, data landscape, and decision-making pain points to identify where AI will move cost, revenue, or efficiency metrics. Every use case is evaluated against ROI potential, regulatory constraints, and implementation feasibility. We don't start with technology — we start with commercial outcomes.
Blueprint design for every component — data pipelines, model selection, integration architecture, security model, and governance framework. Every decision is made with your regulatory environment, existing systems, and compliance obligations in mind. Nothing is built on assumptions.
Development in 2-week sprint cycles with visible progress at every stage. Data pipelines first, then core models, then integrations, then interfaces. No big-bang delivery — you see working software continuously. Business stakeholders are involved in sprint reviews, not just IT.
Rigorous parallel running against historical data. We benchmark ROI, not just model metrics. Business logic verification with your team. Performance, load and security testing. UAT with actual users in actual workflows. Nothing ships without your sign-off.
Production deployment with zero-downtime cutover. Full knowledge transfer — not documentation handed over, but training sessions, walkthroughs, and your team operating the system with MintedMind alongside. Complete documentation package authored throughout the build, not written retrospectively.
SLA-backed support, continuous model monitoring and retraining, security management, and quarterly business reviews. The system improves as your data grows. Monthly performance reports include accuracy tracking, usage analytics, and proactive recommendations for expansion.
We build and deploy the spend intelligence layer end-to-end — ingesting ERP, AP, P-card, and contract data, training the spend taxonomy classifier and supplier consolidation engine, delivering a live recovery dashboard integrated with your finance stack. Largest standalone EBITDA outcome of any use case in the catalogue.
We build the contract and billing intelligence layer — ingesting CRM, billing, and ERP data, training models to surface underbilled accounts and pricing anomalies, delivering a live recovery dashboard. You don't receive a report. You receive a running system that finds leakage continuously.
We build the close automation system — intelligent reconciliation engine, automated journal entry generation, accrual prediction models, and exception management dashboard. Integrated with your ERP. Full audit trail embedded. Handed over as a running system your finance team operates directly.
We build and deploy the forecasting system — ingesting receivables, payables, banking feeds, and contract milestones, training rolling prediction models, and delivering a live 13-week cash position dashboard. Multi-entity supported. enterprise reporting formats included.
We build and deploy the detection system end-to-end — model training on your transaction data, integration into your screening workflow, governance controls embedded, alert dashboard live. Proven delivery in regulated environments at Tier-1 scale.
Board and risk committee representation for AI governance decisions. Programme oversight from use case prioritisation through production sign-off. Internal capability building so the organisation is not permanently dependent on external expertise. 2–4 days per month, structured around your governance calendar.
AI-generated board pack production and real-time executive dashboards eliminating 15–20 hours of monthly manual preparation. Includes forward-looking variance intelligence, scenario simulation, and market benchmark integration. Finance shifts from assembling data to interrogating it.
No proposals sent before we understand your data landscape, compliance obligations, and what success looks like.
Every use case follows the same five-stage delivery method: advisory framing, fixed-scope scoping, production build, go-live support, ongoing maintenance. Two are flagship pipeline priorities. All nine carry the same delivery rigour.
AI-driven analysis of every line of addressable spend. Surfaces supplier consolidation opportunities, maverick spend, contract leakage, and renewal optimisation. Single largest standalone EBITDA outcome — typically 5–12% of addressable spend, recovered.
Contract and billing intelligence layer built on your CRM and ERP data. Surfaces underbilled accounts, pricing inconsistency, and renewal risk continuously. Direct delivery proof: £2.1M recovered for a Tier-1 European bank in eight weeks.
Complete regulatory architecture for your AI programme — EU AI Act Article 6 classification, NIST AI RMF framework, three-lines-of-defence mapping, and a board-ready compliance roadmap.
Governance architecture for enterprises deploying autonomous AI. Capability boundaries, human oversight protocols, multi-agent accountability chains, and the controls required for risk committee sign-off.
AI-powered transaction screening built and deployed on your data. Graph neural networks and behavioural pattern recognition replacing manual rule sets. Proven delivery in regulated environments at Tier-1 scale.
Intelligent reconciliation, automated journal entries, and accrual prediction built and integrated with your ERP. Close cycle from 10+ days to 4. 3+ FTE capacity freed. Full audit trail maintained — auditors see cleaner evidence, not less of it.
13-week rolling cash position forecasting built and live — receivables, payables, banking feeds, and contract milestones integrated. Multi-entity supported. Purpose-built for mid-market enterprises with liquidity reporting pressure.
Board-level AI governance — 2–4 days per month. Risk committee engagement, programme oversight pilot-to-production, regulatory liaison, internal capability building. Eliminates the 12–18 month full-time hire cycle.
AI-generated board pack production and real-time dashboards eliminating 15–20 hours of monthly manual preparation. Forward-looking variance intelligence, scenario simulation, and market benchmark integration built in.
Same five-stage delivery method applies to all nine use cases. Procurement & Spend Intelligence shown as the worked example.
5–12% addressable spend recovered · £4–24M annual EBITDA on a £200M-revenue portco
We start with the EBITDA case, not the AI case. A 2–3 hour executive working session with the CFO, COO, and CPO maps the addressable spend categories, identifies where supplier consolidation, contract leakage, and maverick spend are most acute, and quantifies the recoverable opportunity against your specific spend base. Output is a one-page commercial case the buyer can take to the operating partner.
Data readiness assessment across ERP, P-card, AP, and contract repositories. Integration map covering systems and data feeds we'll need access to. Data quality gotchas surfaced upfront — duplicate supplier records, miscoded categories, undocumented framework agreements. Output is a fixed-scope, fixed-fee SOW you can hold us to, with named deliverables and a defined success measure.
Production-grade build run from UK leadership with India-based engineering. Spend taxonomy classifier trained on your data. Supplier consolidation engine. Contract analysis layer extracting pricing terms, renewal triggers, and benchmark anomalies. Maverick spend detection model. Recovery dashboard built and integrated with your finance stack. Bi-weekly sprint demos — your category leads attend, not just IT. IP transfers to you on handover.
30/60/90-day production stability is our problem, not yours. Named delivery lead on call. Procurement team trained on the dashboard with structured walkthroughs. Runbook handed over for routine operation. Monthly review of recovery cases actioned. Most clients realise their first £500k–£1M in recovered spend within the first 60 days post-go-live — adoption matters as much as the model accuracy does.
Model drift management as your supplier base, spend categories, and contract structures evolve. Quarterly retraining cycles. Governance recertification on cadence with regulatory updates. Integration upkeep when you change ERPs, add entities through bolt-ons, or restructure procurement. SLA-backed service. Annual cost typically 15–20% of original build cost. Most clients realise >5x annual return on the maintenance retainer through continued recovery.
Each engagement begins with a scoped discovery conversation — no generic proposals.
Every number here is from a real engagement. No projections. No industry benchmarks. Results from systems we built and delivered.
A top-5 European bank's commercial banking division had systematic billing leakage across 12,000+ accounts — underbilled fee structures, pricing inconsistency, and contract drift accumulating over years. Manual audits covered under 15% of the portfolio annually.
We deployed a contract and billing intelligence layer that runs continuously, surfacing underbilled accounts and pricing anomalies in real time. The system ingests CRM, billing, and ERP data, cross-references against contracted pricing, and flags discrepancies with suggested remediation actions.
A fast-growing digital bank was spending six weeks per regulatory audit pulling evidence manually. False positive rates on transaction screening were generating 400+ analyst hours per month in manual review. Compliance teams had no bandwidth for strategic risk work.
We deployed continuous compliance monitoring and AI-powered anomaly detection — trained on 18 months of transaction data, integrated into the core banking platform, governed with full FCA audit trail. The model reduced false positives by 82% and automatically compiled evidence chains for regulatory submissions.
A Series C fintech with 150 employees was losing 12 working days every month to manual close processes across three entities. The board pack took the CFO and two analysts a full week to produce. Finance had no bandwidth for forward-looking analysis.
We built a close automation system integrated with their NetSuite instance — automated inter-entity reconciliation, ML-driven accrual prediction, and anomaly-flagged exception management. The board pack now generates in two hours from a dashboard the CFO operates directly.
Every engagement starts with a scoped discovery call — no proposals before we understand your data landscape.
Indicative value ranges based on documented outcomes. All figures shown as ranges — actuals depend on data quality, integration scope, and your starting position. We validate against your data before any engagement.
Conservative estimates only. Contact MintedMind for a bespoke business case tailored to your specific systems and priorities.
A MintedMind scoping engagement produces ROI projections specific to your data, systems, and priorities.
MintedMind was founded on a specific observation: the enterprises with the most to gain from AI are often the ones with the least ability to navigate the governance, regulatory, and delivery challenges that stand between ambition and production. Most advisories stop at the recommendation. We build the thing.
20+ years in regulated AI delivery. Built EMEA commercial territories from zero. Closed seven-figure deals at Tier-1 banks and large global financial institutions. MSc AI Leadership & Strategy, London Business School.
Senior delivery leadership at a major global commodity trading firm. Managed complex cross-functional programmes across operations and finance. Expert in governance frameworks, vendor management, and enterprise programme execution.
Deep expertise in AI/ML systems, data engineering, and production deployment. Leads the India-based engineering team. Specialist in fraud detection, NLP pipelines, and financial data infrastructure across regulated environments.
The enterprises that successfully deploy AI in regulated environments treat governance as a competitive advantage — not a compliance tax. Every use case, every engagement, and every recommendation from MintedMind starts with this principle.
30-minute briefing. We'll map the AI opportunity in your business and tell you honestly whether MintedMind is the right firm to deliver it. No slides. No pitch deck.
Every MintedMind system is built on open-source and enterprise-grade components your team can own, operate and extend. No vendor lock-in. No hidden dependency.
Every engagement starts with a scoped discovery conversation — not a proposal deck. Tell us where you are and what matters most.
Email: hello@mintedmind.ai
LinkedIn: linkedin.com/in/mintedmind-ai
Response within one business day.
MintedMind AI UK
79B Melbury Gardens
London SW20 0DL
United Kingdom
MintedMind AI Estonia
Tornimäe tn 5, 10145
Kesklinna linnaosa, Tallinn
Harju maakond, Estonia
A 30-minute scoping call. We establish what you're trying to achieve, where the data and governance challenges sit, and which use case applies. No proposal until we've had that conversation.