Engagement phases: advise
Data & AI Strategy and Advisory
Readiness assessments, roadmaps, governance and AI policy.
Learn moreServices
Everything between a strategy and a system that runs.
Four practices. Use one service, or combine them across three phases: advise, implement and operate.
01
Strategy, Transformation & Research
Decide where to go and why: digital and AI strategy, transformation, research and governance.
Engagement phases: adviseimplement
Digital & AI Transformation
Operating models, process redesign and change for the AI era.
Learn moreEngagement phases: advise
Market & Policy Research
Market studies, surveys and evaluations, accelerated by AI.
Learn moreEngagement phases: adviseoperate
AI Governance & Assurance
Responsible-AI policy, risk reviews and independent model evaluation.
Learn more02
Data & Analytics
Trusted data foundations, decision dashboards and predictive models.
Engagement phases: implementoperate
BI & Decision Dashboards
Executive, operational and M&E dashboards people actually use.
Learn moreEngagement phases: implementoperate
Predictive Analytics & Data Science
Forecasting, risk scoring and segmentation, deployed into daily work.
Learn moreEngagement phases: adviseimplementoperate
Data Platforms & Architecture
Warehouses, lakehouses, pipelines and integration, done properly.
Learn more03
AI & Technology Solutions
AI automation, agents and integration, plus the software and platforms around them.
Engagement phases: implementoperate
AI Automation & Agents
Document processing, workflow automation and AI assistants.
Learn moreEngagement phases: adviseimplementoperate
AI Systems Integration
Integrating LLMs and agents with your systems, securely.
Learn moreEngagement phases: implementoperate
Technology Solutions & Software
Custom software, portals, apps, integration and modernisation.
Learn more04
Managed Services & Capability
Keep systems running and people growing: managed teams, AI operations and training.
Engagement phases: operate
Managed Data & AI Teams (EDAS)
Dedicated analysts and engineers, with our tools and oversight.
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Training & Capacity Building (DataU)
Practical data and AI skills for teams, delivered through DataU.
Learn moreEngagement phases: operate
Managed AI Operations
Monitoring, evaluation and support for AI in production.
Learn moreHow the phases fit together
- 01
Advise
Decide what to build, and why
- Digital and AI strategy and transformation
- Market, feasibility and policy research
- AI governance, policy and procurement support
- 02
Implement
Build systems that work in your context
- Dashboards, analytics and AI agents
- Software, data platforms and integrations
- Pilot to production, with acceptance criteria
- 03
Operate
Keep them working, and build your team
- Managed data and AI teams (EDAS)
- Managed AI operations and assurance
- Training and capacity transfer through DataU
Fixed-scope packages
Defined scope, timeline and outcome: the quickest way to start.
3 weeks
AI Readiness Assessment
Where AI can help, what is blocking it, and a costed 12-month plan.
4–6 weeks
Dashboard & MEL Sprint
A live, governed dashboard for one priority area, with automated refresh.
4 weeks
Data Platform Blueprint
Target architecture, platform choice and a phased, costed build plan.
8–12 weeks
AI Pilot to Production
One high-value AI use case, evaluated and deployed with monitoring.
4 weeks
Transformation Diagnostic
Digital maturity, process pain points and a prioritised transformation roadmap.
4–8 weeks
Market or Feasibility Study
Market sizing, demand and competitor evidence for one investment or programme decision.
3 weeks
AI Assurance Review
Independent evaluation of one AI system or vendor tool, with a risk report and fixes.
Monthly
Managed Intelligence Pod
A small dedicated team plus AI tooling, delivering agreed capacity each month.
Ways to engage
Buy results, not hours: three commercial models to fit your funding and procurement rules.
Fixed-scope packages
Best for
A clear first step, a defined deliverable or a donor-funded activity.
How it works
Agreed scope, timeline, deliverables and price before work starts.
Programmes and managed capacity
Best for
Multi-phase transformation, platforms, and ongoing data and AI work.
How it works
Phased delivery, or a dedicated pod billed monthly against agreed capacity and service levels.
Outcome-based partnerships
Best for
Repeatable processes with a measurable baseline, such as report production or document processing.
How it works
Fees linked to agreed results, after a baseline is measured together.
Start with a 30-minute scoping call.
Tell us what you are trying to achieve. We will tell you honestly whether we are the right partner, and what a sensible first step looks like.