SentAIent Ltd is an independent technology strategy and advisory practice built from the ground up, not from a graduate scheme or an MBA programme. The practice spans financial services, transport, logistics, mining, and public sector organisations across 16 European countries. In every one of those contexts, the measure of success was whether the organisation could do something it could not do before.
The work covers enterprise architecture, AI strategy, and commercial growth. The frameworks were not adapted from existing methodologies. They were created in response to failure patterns observed repeatedly across client engagements: AI programmes without architectural foundations, transformation work that produced reports rather than results, and advisory relationships that confirmed the existing direction rather than challenging it.
TOGAF and IASA certified. Co-author of published whitepapers on Convergent Intelligence Modelling — the combination of AI, behavioural simulation, real-time data, and IoT into a single analytical model. Working directly with boards and C-suites on AI governance, operating model design, and value stream alignment. Every technology decision is connected to a specific, measurable business outcome. Everything else is removed.
AI Strategy & Governance
AI investment defined before budget is committed. Governance structures built before systems are deployed. Use cases cut before they waste capital.
Enterprise Architecture
EA moved from a governance overhead to the control layer for AI at scale. TOGAF-certified. Built from client delivery, not academic frameworks.
Commercial Growth
£1.6B+ in net new opportunities over 7 years. 135% average revenue target achieved. Results built on original thinking, not brand recognition.
Digital Transformation
Programmes designed to change what an organisation can do, not produce a strategy document. Delivered across financial services, transport, and logistics.
Practice Leadership
Technology advisory practices built from scratch across 16 European countries in financial services, logistics, and ITO. The measure was not headcount — it was whether the practice changed what clients could do.
Sustainable Technology
Convergent Intelligence Modelling applied to sustainable mobility — combining AI, behavioural simulation, and real-time data to solve operational problems. 23.5 tonnes of CO2 saved in a UK sustainable transport engagement.
The case for original thinking over standardised methodology is not philosophical. It is commercial. These are the outcomes from engagements where the brief was to change something, not describe it.
Net new opportunities generated over 7 years through original commercial strategy
Average revenue target achieved over 7 years
Win rate on qualified client opportunities
Support processes automated in a global ITO programme
European countries led simultaneously
Proprietary engagement frameworks created and taken to market
Monthly cost saving delivered through global ITO process automation
CO2 saved in a sustainable mobility engagement using Convergent Intelligence Modelling
Each of these frameworks was built in response to a specific failure mode observed across multiple client engagements. None of them started as a theoretical model. They started as a question: why does this keep going wrong, and what would actually fix it?
Defines the business case for AI investment before a single pound of budget is committed. Cuts low-value use cases early and builds a governance structure that holds as the programme scales.
Repositions enterprise architecture as an AI Control Tower and value engine rather than a documentation function. Aligns architecture capability with the organisation's AI ambition.
Maps value streams, removes process waste, and aligns technology investment with measurable business outcomes. Used in FSI AI advisory to unify Operations, CX, and Strategy teams around a single roadmap.
Takes an idea from concept to validated prototype in five days. Produces a lean business case that can be funded without a full business case process.
A facilitated session that gets leadership teams to shared priorities on transformation. Designed for organisations that need to move quickly without losing direction.
Funds innovation without requiring a full business case. Produces a single-page investment decision document that removes the most common barrier to getting started.
Solves current business problems using emerging technology. Combines consulting delivery with R&D capability to produce solutions that work now and hold up as the technology matures.
A selection of engagements where the measure of success was not a report or a recommendation, but a specific, verifiable change in what the client could do or what they were spending.
Seven published pieces built around a single argument: the standard approach to most technology problems is not working, and there is a more effective way to think about it. Each piece was written to be useful, not to demonstrate familiarity with a topic.
EA as AI Control Tower. 95% of AI pilots fail without architectural integration. This framework addresses that failure directly.
Five priorities for CIOs at a definitive crossroads: Data and AI Democratisation, Future-Proof Workforce, Zero Trust, Risk Mitigation, and Exponential Product Teams.
Convergent Intelligence Modelling as a business decision tool — combining AI, behavioural simulation, and real-time data. 15 to 25% marketing ROI improvement and 30% time-to-market reduction demonstrated.
Value Operating Model for the $253bn global cold chain market. Six value streams mapped with technology capabilities per stream.
Transportation's connection to 10+ industry sectors. 400% increase in critical mineral demand by 2040 as a strategic planning horizon.
Fan movement accounts for up to 98% of sports event CO2 emissions. Convergent Intelligence Modelling applied to behaviour change as a replicable solution.
Consulting and R&D working together as a competitive advantage. 68% increase in top performer speed demonstrated in client deployments.
If your organisation needs an advisor who will tell you what you need to hear, build something original for your specific situation, and measure the outcome against a real business result, this is the right conversation. If you need someone to validate a decision that has already been made, it probably is not.
Engagement Types
Fractional CTO / Technology Strategy Advisor • Board-level advisory • Facilitated strategy workshops • AI governance and roadmap programmes • Enterprise architecture reviews • Short-term diagnostic engagements