Areas of consultancy

Eleven service areas, one underlying question: where is judgement currently being made without the evidence to support it? Each engagement is scoped to close a specific version of that gap.

Discuss your estate How we work
01

AI Strategy & Transformation Consulting
02

AI-Enabled Agile & Hybrid Project Management
03

AI Risk Management & Governance
04

AI Enterprise Portfolio Management
05

AI PMO Design & Optimisation
06

AI Adoption & Change Management
07

Project Management Digital Transformation
08

AI Readiness Assessment
09

Predictive Project Analytics
10

Project Cost Management & Forecasting
11

AI Governance for Project Delivery
01 — AI AI Strategy & Transformation Consulting

AI Strategy & Transformation Consulting

A board-ready roadmap that connects AI ambition to delivery capability, funding and sequencing.

We translate executive intent into a costed, staged transformation plan: where AI creates defensible value in your delivery estate, what must be true to capture it, and the order in which capability, data and governance have to arrive.

  • Value-case definition and prioritisation
  • Target operating model for AI-enabled delivery
  • Investment sequencing and benefits tracking
  • Executive and board briefing packs
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02 — AI-ENABLED AI-Enabled Agile & Hybrid Project Management

AI-Enabled Agile & Hybrid Project Management

Intelligence applied where delivery actually happens — backlogs, cadences, dependencies and flow.

Agile, waterfall and hybrid estates all generate signal. We instrument the cadence so estimation, capacity and dependency decisions are informed by evidence rather than optimism, without adding ceremony teams will not sustain.

  • Flow and throughput diagnostics
  • AI-assisted estimation and forecasting
  • Dependency and capacity modelling
  • Hybrid operating cadence design
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03 — AI AI Risk Management & Governance

AI Risk Management & Governance

Leading indicators, model assurance and a control environment your auditors will recognise.

Risk management moves from retrospective registers to forward-looking exposure. We build the leading-indicator set, the escalation thresholds and the assurance model that keeps AI-assisted judgement explainable and accountable.

How we work on this

  1. 01 We investigate the risk factors associated with your projects and design an accurate solution to address them.
  2. 02 We define your perfect risk management framework and train your staff on how to efficiently incorporate the framework to reflect the reality your organisation is facing. Our approach is constantly evolving, as we believe in the agile application of risk management methods.
  3. 03 We then ensure that our customers receive contextualised services while adhering to industry regulations.
  • Predictive risk indicators and thresholds
  • Model assurance and bias review
  • Escalation, ownership and audit trails
  • Regulatory alignment and documentation
  • Quality service within scope, schedule and budget
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04 — AI AI Enterprise Portfolio Management

AI Enterprise Portfolio Management

One defensible view of demand, capacity, value and risk across the whole portfolio.

Portfolio decisions fail on data latency, not intent. We consolidate the portfolio signal, model trade-offs across scenarios, and give investment committees a live basis for start, stop, accelerate and defer calls.

  • Portfolio data model and consolidation
  • Scenario and trade-off modelling
  • Capacity and funding optimisation
  • Investment committee reporting
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05 — AI AI PMO Design & Optimisation

AI PMO Design & Optimisation

A PMO that produces insight instead of collecting status.

We redesign the PMO operating model around automation: reporting assembled rather than chased, assurance targeted by risk, and analyst time redirected from administration to advice the business will actually act on.

  • PMO operating model redesign
  • Reporting automation and data pipelines
  • Assurance and stage-gate redesign
  • Role, skill and capability uplift
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06 — AI AI Adoption & Change Management

AI Adoption & Change Management

Tools do not change delivery. Adopted behaviour does.

The gap between a deployed capability and a used one is behavioural. We design the adoption path — sponsorship, incentives, enablement and measurement — so AI-supported ways of working survive the first difficult quarter.

  • Stakeholder and sponsorship mapping
  • Role-based enablement pathways
  • Adoption measurement and reinforcement
  • Resistance and readiness management
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07 — PROJECT Project Management Digital Transformation

Project Management Digital Transformation

Modernising the tooling, data and process spine that delivery runs on.

Fragmented tooling produces fragmented truth. We rationalise the delivery technology estate and the data model beneath it, so every layer of reporting resolves to the same numbers.

  • Tooling rationalisation and integration
  • Delivery data architecture
  • Process standardisation and templates
  • Migration and transition planning
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08 — AI AI Readiness Assessment

AI Readiness Assessment

An evidence-based baseline across data, process, capability and governance.

Before investment, an honest read. We assess readiness across six dimensions, benchmark it, and return a prioritised remediation plan with the sequence that removes blockers in the cheapest order.

  • Six-dimension maturity assessment
  • Data quality and availability review
  • Capability and skills gap analysis
  • Prioritised remediation roadmap
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09 — PREDICTIVE Predictive Project Analytics

Predictive Project Analytics

Forecasting schedule, cost and benefit outcomes while there is still time to act.

We build the models and the reporting layer that convert historical delivery data into forward estimates — completion probability, cost-at-completion ranges and benefit realisation confidence, each with its assumptions on the page.

  • Schedule and cost forecasting models
  • Benefit realisation confidence tracking
  • Early-warning dashboards
  • Model calibration and back-testing
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10 — PROJECT Project Cost Management & Forecasting

Project Cost Management & Forecasting

Budgets that hold, because the estimate was built on evidence rather than optimism.

Cost overruns are rarely a surprise in hindsight — the signal was usually present early and nobody was modelling it. We put the forecasting discipline in place before the money is committed, and keep it running while there is still room to act.

How we work on this

  1. 01 We are committed to ensuring that your budget does not overrun. That is why we invest as much time as we can in planning your costs.
  2. 02 We use effective and realistic predictive modelling techniques to plan your project costs, so the estimate reflects how work has actually behaved rather than how it was hoped to behave.
  • Bottom-up and parametric cost estimation
  • Cost-at-completion forecasting with ranges
  • Contingency and management reserve sizing
  • Earned value and burn-rate tracking
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11 — AI AI Governance for Project Delivery

AI Governance for Project Delivery

Responsible AI made operational inside the delivery lifecycle.

Policy that never reaches a stage gate changes nothing. We embed responsible-AI controls into the lifecycle itself, with defined decision rights, documentation standards and review points aligned to emerging regulation.

  • AI policy translated into lifecycle controls
  • Decision rights and accountability model
  • Documentation and transparency standards
  • Regulatory horizon monitoring
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Engagement models

Three ways to start

Pricing is fixed-scope for diagnostics and milestone-based for transformation work, so cost is tied to delivered artefacts rather than elapsed time.

4–6 weeks

Diagnostic

Establishing an evidence base and a costed roadmap.

  • AI readiness assessment
  • Delivery performance baseline
  • Prioritised roadmap
  • Executive readout
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Most common

12 weeks

Governed Pilot

Proving value on live delivery under a real control environment.

  • Everything in Diagnostic
  • Two governed AI use cases
  • Instrumented reporting layer
  • Assurance and control design
  • Measured value against baseline
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6–18 months

Transformation

Scaling proven capability across the enterprise portfolio.

  • Portfolio-wide rollout
  • PMO operating model redesign
  • Capability transfer programme
  • Ongoing advisory retainer
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Next step

Not sure which one you need?

Most conversations start unscoped. Tell us what is not working and we will tell you which of the ten actually applies — including when the answer is none of them yet.

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