Advisory · Scoping · Build · Go-live · Maintenance

The gap between AI ambition and
working systems.

One firm. Single accountability across the full lifecycle — from strategic advisory through to production-grade build and go-live. London leadership. Bangalore delivery. IP transfers to you.

9
Focused use cases
5
Lifecycle stages owned
20+
Years in regulated AI
RiskMint · Live AP Scanner Scanning
Invoice volume 44 invoices
44
Scanned
3
Flagged
£104K
Exposure
Operated under
NIST AI RMF EU AI Act SOC 2 GDPR ISO 42001 DORA FCA
Why AI Programmes Fail

PE-backed enterprises are buying AI.
Not deploying it.

The gap is structural. AI vendors sell capability. Consultancies sell strategy. No one owns the end-to-end build from data to go-live.

01

Pilot Purgatory

PoC budgets get approved. Production infrastructure budgets don't. AI sits in demo mode while the board waits for ROI that never materialises.

74% stall rate — Gartner 2024
02

Fragmented Ownership

Three advisory firms, two system integrators, one software vendor. No single contract owns the outcome. Accountability disappears between handoffs.

MintedMind: one contract, one firm
03

No Governance Layer

Regulated finance needs AI boards can defend and regulators can audit. Most deployments have neither. DORA and FCA expectations are tightening.

EU AI Act · DORA · FCA ready
£2.1M
Revenue leakage recovered / yr
12→4
Month-end close days
−82%
Fraud false positives
6–8wk
Contract to live system
Start the Conversation

Most AI deployments fail in the gap between
ambition and execution. We close that gap.

Book a 30-minute technical briefing. We'll map your highest-value AI opportunity and tell you honestly whether MintedMind is the right firm to deliver it.

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Engagement Model

Three tiers. Five lifecycle stages.
One firm.

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.

01

Assess — Govern before you build

Assess · 01

AI Governance Blueprint

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.

6 weeks · Fixed price
AI System InventoryRisk ClassificationGovernance FrameworkBoard-Ready Roadmap
Assess · 02

Agentic AI Operating Model Design

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.

4–6 weeks · Fixed scope
Capability BoundariesHuman Oversight ProtocolsAccountability Map
02

Deploy — We build it. We deliver it. It runs.

This is where MintedMind is different.
Every Deploy engagement delivers a working, production-grade AI solution — data pipelines built, models trained, integrations live, governance embedded, dashboards running. You receive a handover of a system in production, not a roadmap for someone else to build.
Foundation Governance · Compliance · Integration · Scalability
1
Identify
2–3 weeks
2
Architect
2–4 weeks
3
Build
6–16 weeks
4
Validate
2–4 weeks
5
Deploy
1–2 weeks
6
Operate
Ongoing

Stage 1: Identify — Focus AI on Financial Impact

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.

Commercial opportunity mapData readiness assessmentIntegration landscapePrioritised use case roadmapROI potential scoring

Stage 2: Architect — Design for Real-World Constraints

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.

System architecture documentModel selection rationaleSecurity & governance frameworkData pipeline designIntegration specifications

Stage 3: Build — Deliver Working AI Iteratively

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.

Sprint demos (bi-weekly)Working data pipelinesTrained ML modelsIntegration connectorsDashboard prototypes

Stage 4: Validate — Measure What Matters

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.

ROI benchmarks vs baselineUAT sign-offPerformance test resultsSecurity assessmentCompliance documentation

Stage 5: Deploy — Integrate into Live Operations

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.

Production deploymentKnowledge transfer sessionsFull documentation packageRunbook & escalation procedures

Stage 6: Operate — Continuous Optimisation → Sustained ROI

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.

SLA-backed supportModel monitoring & retrainingQuarterly business reviewsExpansion recommendations
Most AI programmes fail between pilot and production. That's where we operate.
FLAGSHIP
Deploy · 01

Procurement & Spend Intelligence

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.

10–14 weeks · ERP + contract repository integration
Spend classifier >90% accuracySupplier consolidation engine5–12% spend recovered£4–24M EBITDA
FLAGSHIP
Deploy · 02

Revenue Leakage Recovery

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.

8–10 weeks · Fixed diagnostic first
Contract intelligence layerLive recovery dashboard1–3% ARR recoveredCRM + billing integrated
Deploy · 03

Month-End Close Acceleration

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.

10–14 weeks · ERP integration in weeks 1–3
Reconciliation engine builtERP integration live10→4 day close cycleFull audit trail
Deploy · 04

Cash Flow Intelligence

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. PE reporting formats included.

8–12 weeks · Treasury + ERP integration
Forecasting model liveBanking feeds integrated−60–80% cash surprisesPE reporting format
Deploy · 05

Fraud & Anomaly Detection

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.

8–12 weeks · POV on your data in week 3
Model built on your dataWorkflow integrated£500K–£2M annual savingsFull audit trail
03

Sustain — Ongoing intelligence leadership

Sustain · 01

Fractional Chief AI Officer

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.

Recurring retainer · Monthly engagement
Board-level representationRisk committee oversightProgramme governanceCapability building
Sustain · 02

Board & Executive Reporting Automation

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.

Ongoing managed service · Quarterly reviews
15–20 hrs/mo savedAuto board packReal-time variance alerts

Every engagement begins with a scoped conversation.

No proposals sent before we understand your data landscape, compliance obligations, and what success looks like.

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9 Focused Use Cases

Nine focused use cases.
Each delivered end-to-end.

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.

Deploy · Spend

Procurement & Spend Intelligence

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.

Deploy · Revenue

Revenue Leakage Recovery

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.

Assess · Governance

AI Governance Blueprint

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.

Assess · Agentic AI

Agentic AI Operating Model Design

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.

Deploy · Risk

Fraud & Anomaly Detection

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.

Deploy · Operations

Month-End Close Acceleration

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.

Deploy · FP&A

Cash Flow Intelligence

13-week rolling cash position forecasting built and live — receivables, payables, banking feeds, and contract milestones integrated. Multi-entity supported. Purpose-built for PE-backed companies with liquidity reporting pressure.

Sustain · Leadership

Fractional Chief AI Officer

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.

Sustain · Reporting

Board & Executive Reporting Automation

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.

Anatomy of a Use Case

How a flagship engagement runs
end to end.

Same five-stage delivery method applies to all nine use cases. Procurement & Spend Intelligence shown as the worked example.

Flagship · Deploy

Procurement & Spend Intelligence

5–12% addressable spend recovered · £4–24M annual EBITDA on a £200M-revenue portco

Buyer: CFO · COO · CPO
Total cycle: 16–20 weeks to live
Sustain attach: 70%+
Advisory framing — week 0

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.

  • Addressable spend baseline established (typically £80–200M for a £200M-revenue portco)
  • Top 3 recovery levers identified with point estimates
  • Internal stakeholder map — including procurement, finance, and category owners
  • Operating partner alignment on EBITDA target
Fixed-scope scoping — weeks 1–4

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.

  • System and data inventory — ERP, AP, P-card, contracts, supplier master
  • Data quality issues catalogued with mitigation plan
  • Fixed-fee SOW with deliverables and acceptance criteria
  • Integration architecture and security model signed off
Build & Delivery — weeks 5–14

Production-grade build run from London leadership with Bangalore 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.

  • Spend classifier with >90% category accuracy on your taxonomy
  • Supplier consolidation recommendations with savings quantification
  • Contract intelligence layer surfacing renewal and pricing leakage
  • Live recovery dashboard integrated into your reporting
  • Full IP transfer — code, models, documentation, training data rights
Go-live support — weeks 15–24

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.

  • Named on-call delivery lead for 90 days
  • Procurement team enablement — 4 structured training sessions
  • Operations runbook covering monitoring, exception handling, escalations
  • Monthly business review tracking recovery cases and ROI realisation
Ongoing maintenance — recurring

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.

  • Quarterly model retraining and performance benchmarking
  • Bolt-on integration support for new entities and ERPs
  • Governance and regulatory recertification on schedule
  • Quarterly business review with the operating partner
  • Annual roadmap of expansion opportunities — net-new categories, additional spend taxonomies
Want the same depth on another use case? Request a tailored walkthrough.

Find the use case that matches your priority.

Each engagement begins with a scoped discovery conversation — no generic proposals.

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Impact Calculator

Quantify your
intelligence dividend.

Conservative estimates based on documented outcomes across MintedMind's delivered engagements. Actual results depend on data quality, integration scope, and adoption.

Your Organisation

£50Mrevenue / ARR
15headcount
10working days
12%leakage rate

Conservative estimates only. Contact MintedMind for a bespoke business case tailored to your specific systems and priorities.

Estimated Annual Impact

Revenue recovered — leakage + churn reduction
£2.4M
5% churn reduction + 1.5% leakage recovery
Finance capacity freed
~5.3 FTE
35% automation of manual finance processes
Close cycle reduction
−6 days
Target: 4-day close from current baseline
Estimated 3-year net value
£6.1M
Conservative — excludes fraud savings and compliance cost avoidance
Procurement & Spend ★
5–12% spend
Recovered through supplier consolidation and contract leakage
Revenue Leakage ★
1–3% ARR
Recovered from billing and pricing intelligence
Fraud Detection
£500K–£2M
Annual fraud savings from false positive reduction
Close Acceleration
£300–500K
Annual capacity savings from 10→4 day close
Board Reporting
15–20 hrs
Per month saved on board pack preparation

These are starting points, not proposals.

A MintedMind scoping engagement produces ROI projections specific to your data, systems, and priorities.

About MintedMind

Built by operators who have
delivered AI at Tier-1 scale.

MintedMind is a bespoke AI solution delivery firm targeting PE-backed mid-market enterprises across EMEA. We differentiate through full-stack delivery — advisory through to go-live — under a single contract, with IP transferring to the client. UK senior advisory paired with India-based engineering, enabling Big-Four quality at a price point boutique advisories cannot match.

Operating Entity

Entity
EqeStar Capital Limited
Domain
mintedmind.ai
Geography
UK / Ireland first · EMEA
Target Market
PE-backed mid-market · £50–500M revenue

What We Are Not

Not a System Integrator
We don't implement vendor products. Every system is built bespoke for your data and workflows.
Not a Fractional Advisory Firm
We own delivery end-to-end. Strategy without a production system is not our model.
Not a SaaS Product Company
No vendor lock-in. IP transfers to you at go-live under every MSA we sign.
We are a Bespoke AI Delivery Firm
Full-stack. Single contract. Advisory → scoping → build → deployment → go-live → maintenance.
Book a Briefing

30 minutes to map your
highest-value AI opportunity.

We'll scope your opportunity, model a commercial case, and tell you honestly whether MintedMind is the right firm to deliver it.

Schedule via Calendly → hello@mintedmind.ai
30 min
Initial briefing
Free
No commitment
1 wk
To scoping proposal