Three disciplines. One practice.

Senior delivery leadership on complex enterprise programmes. SAP S/4HANA, Dynamics 365, Salesforce, NetSuite (Oracle), platform re-platforms, integration programmes, and the recoveries nobody wants to be in. Twenty years of taking on work that others had already tried, and finishing it.

The approach is deliberate. Scope before speed. Sequence before volume. Standards before heroics. Governance is structured to support decisions rather than decorate them. Stakeholders get short, honest updates. Teams get cover to do good work. Dates are earned, not declared.

Typical engagements: programme leadership, recovery, steering-committee advisory, vendor interface, and delivery assurance. Practitioner-level accreditation (PRINCE2 Practitioner) sits underneath, but the method is always the second tool. The first is attention.

Data is only useful if it changes a decision. Company31 helps organisations stand up modern data platforms on Microsoft Fabric and adjacent stacks, then makes sure the reporting layer is honest, readable, and used. From data lake architecture through to executive dashboards, the work is calibrated to the decisions in front of you, not the ones you might make in three years.

We take a stoic view of data: start with the question, not the tool. Model what is already known. Trust what can be measured. Build small, iterate honestly. The product, branded TrackWhat where the context suits, is a portable operating model for reporting maturity: start with what matters, cut what does not, and make every chart justify its existence.

Typical engagements: data platform design and build on Microsoft Fabric, reporting audits, Power BI and Google Analytics implementation, governance frameworks that people actually follow, and the less glamorous but often decisive work of cleaning up legacy reporting estates.

AI is only useful if people use it twice. Company31 integrates Copilot, Copilot Studio, Anthropic Claude, Google Gemini, and custom agents into environments where the data is messy, the risk is real, and the stakes are not theoretical. The focus is on integrations that earn their keep: shorter reviews, cleaner handoffs, fewer meetings about meetings.

We bring the same discipline here that we bring to programme work. Guardrails first. Human-in-the-loop by default. Measured uplift, not anecdote. Where a simpler automation would do, a simpler automation wins. Where AI genuinely moves the needle, we build the integration properly: grounded in your data, aligned to your policies, documented enough that the next person can change it. Model choice follows the task, not the fashion.

Typical engagements: Copilot and Copilot Studio implementation, Anthropic Claude and Google Gemini integrations, agent design, evaluation harnesses, AI governance frameworks tied to Human Synergistics cultural assessments when the organisation is serious about change, and pragmatic AI readiness reviews for leadership teams.