Strategy, implementation, training, advisory, governance and integration, plus ready-made solutions for common business processes. Durations shown are typical, not promises; every engagement is scoped in writing after the diagnostic.
No commitment: a conversation about your own operation, not a sales deck.
Free · 60 min
A free conversation with the decision-maker about your own operation, to choose the first process worth automating and to judge whether the business case holds.
Free · 60 min
For teams that bought AI licences but mostly use them as a chat window. We look at how the tools are really used and where they could carry real work.
Measure first, so every later result has something honest to be compared with.
Typical: 2–4 weeks
We measure what the process costs today in hours and money, and agree the plan before anything is built.
Typical: 2–3 weeks
Microsoft Copilot, Claude and ChatGPT run side by side on three of your real processes, with the same data and the same success criteria.
Where your organisation stands on data, skills, governance and use cases, and a sequenced plan to move forward.
We turn an idea into a business case with explicit assumptions, then track the results against it after launch.
From a signed mandate to processes that run in production and are measured.
Typical: 6 months
A structured programme that takes you from mandate to two measured processes in six months, run by your own team with our support.
AI agents that run whole business processes: they read the inputs, decide within your rules, act in your systems and hand exceptions to a person.
Several specialised agents coordinated by a governed runtime, for work with many steps that no single agent should handle alone.
People learn on real tasks, and leave with something that already works.
Typical: 3–8 weeks · up to 10 people
Hands-on workshops for up to ten people, built around the work each participant actually does.
Short sessions that give directors a working vocabulary: what AI can and cannot do, what to ask, what to fund and what to stop.
Practical labs where teams write, test and evaluate prompts against their own cases, and learn to tell a good answer from a convincing one.
An independent voice on your side of the table.
Typical: 6-month minimum
An independent advisor for owners, CEOs and boards who need to decide which AI initiatives to back, which vendor proposals to question and which to stop.
Use AI at scale without losing sight of who does what with which data.
Typical: 2–4 week diagnostic + 4–6 week setup
We move people from personal AI accounts to corporate ones and put clear rules around how AI is used in daily work.
We help you build the management system that a standard such as ISO/IEC 42001 expects, so you are ready for an audit if you choose to seek one.
We attack your AI assistants and agents the way a hostile user would, to find weaknesses before someone else does.
We map how your AI use handles personal data against the rules of each country where you operate, working alongside your own legal counsel.
AI connected to the systems where your work already lives.
Agents connected to the systems your people use every day, acting only within the permissions you give them.
Models and agents deployed inside the cloud account you already control, so data stays where you decide.
AI coding agents that read old code, document it and help migrate it, with engineers reviewing every change.
Ask questions in plain language and get answers drawn from your own documents, with the source shown.
Invoices, contracts, forms and statements read, classified and entered into your systems, with doubtful cases sent to a person.
Assistants that answer customers by chat, phone or WhatsApp, and pass the conversation to a person when it matters.
AI added to the automation you already run, so that steps needing judgement can be handled instead of stopping the flow.
Agents are only as good as the data behind them. We clean, connect and organise the data your first use cases depend on.
Keeping AI systems accurate, affordable and staffed after launch.
Ongoing evaluation of your agents on fixed test sets and live traffic, so quality drift and failures are seen early.
Visibility and limits on what AI usage costs, by team, process and model.
Specialists in AI engineering, data and AI operations who join your team for as long as the work needs them.
The right licences for the right people, not the same plan for everyone.
Practical guidance on which AI licences to buy, for whom and in what quantity, across Microsoft, Anthropic, OpenAI, Google and others.
Starting points for the processes we see most often, adapted to your rules and systems.
Statements from several banks and countries read, matched against your ERP and consolidated, with only the exceptions reaching a person.
Contract terms such as tiers, minimums and exclusions are read and applied to calculate commissions and credit notes, each traced back to its clause.
Demand forecasts and the provisions that follow from them, built from your own history and rules.
Daily sales views by zone, route and customer that replace manual spreadsheets, with inconsistent data flagged instead of hidden.
Orders and questions that arrive as messages are read, entered in your systems and answered, with a person taking over when needed.
Supplier invoices read, matched with orders and receipts, and routed for approval.
Overdue accounts prioritised and reminders drafted in the right tone for each customer, sent only after your team approves.
Identity and onboarding documents checked against your policy, with an analyst deciding every borderline case.
Alarms and tickets grouped, prioritised and routed to the right team, with suggested next steps from your own runbooks.
The same building blocks, applied to the way each sector works.
Reconciliation, KYC and onboarding review, collections and analyst support, always with regulated use in mind and a person owning each decision.
Faster research and first drafts with client confidentiality protected, plus quality review of AI-assisted deliverables.
Order capture and customer service over WhatsApp and email, knowledge assistants for frontline staff and standardised processes.
Ticket and alarm triage, AI-assisted runbooks and incident support for operators, where judgement under pressure matters.
Customer care, network operations support, field-force coordination and churn and retention analysis.
Technical knowledge search over manuals, legacy code modernisation, root-cause analysis from logs and supplier contract review.
Inventory forecasting, automated sales reporting, distributor commissions and customer service over messaging channels.
Document-heavy back-office processes, operations knowledge search and ticket triage for field and control-room teams.
A free 60-minute conversation with the decision-maker to choose the first process worth automating.
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