Good evening, how much for 12 office chairs? Delivery to Tema.21:47
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Example
AI, data and automation
Fix the work.
Then make it faster.
We find what’s slowing your work down, then build the AI and data tools that fix it.
Examples of what we build: an enquiry answered and logged automatically; a monthly report that flags the branch under target; a leave request cut from six days to the same day; a model that ranks invoices by the risk of late payment; and a training exercise in checking what an AI tool writes.
What we believe
We map how your work really runs before we automate any of it, so what we build fits the job.
We look before we build.
Plenty of expensive systems were built for a problem nobody had properly looked at. We spend the first days finding out how the work really runs, and why.
We’d rather you trusted the numbers.
A plain report the whole management team believes is worth more than a beautiful dashboard that starts an argument every month.
When we leave, your people run it.
We write it down and train the people who’ll own it. The job isn’t finished until they can run it, question it and fix it without calling us.
Lead tracking
Every enquiry answered, logged and followed up
Here’s one enquiry from a Friday night. The reply goes out while your staff are asleep, the lead goes into a shared list, and someone is reminded in the morning before it goes cold.
- New
- Replied
- Follow-up
- Won
- New
WhatsApp: “How much is the 3-seater, and do you deliver to Tema?”
- Replied
Instant reply with prices, delivery areas and how to pay
- Logged
Added to the lead list and assigned to the sales desk
- Follow-up
Reminder to sales: one enquiry from last night is still open
- Won
Quote sent, deposit paid by mobile money, lead marked won
Familiar in offices across Ghana
Which of these have you heard this month?
Scroll across and pick the ones that sound familiar. We’ll suggest where to start.
Scroll across: each quote links to the service that fixes it.
Customers message us on WhatsApp at night. By morning they’ve bought elsewhere.
Ama · SalesAI Workflow AutomationThe figures will be ready by the third week of next month.
Kojo · FinanceBusiness Data AnalysisIt’s waiting for a signature. The director’s travelling until Thursday.
Efua · AdminBusiness Process OptimisationSomeone types up the mobile money statements by hand every morning.
Yaw · AccountsAI Workflow AutomationWe know staff are using ChatGPT on client files. We don’t know who.
Nana · OperationsAI TrainingSales and finance have brought different numbers again.
Akosua · StrategyBusiness Data AnalysisWe bought the system three years ago. We’re still running on Excel.
Kwesi · ITBusiness Process OptimisationWe find out what sold this month when the accountant finishes in the middle of next month.
Adjoa · RetailBusiness Data Analysis
Names and messages are invented.
Estimate it yourself
What does the wasted time actually cost?
Pick one piece of work that wastes time, like copying figures between systems, chasing approvals or rebuilding the same report. Put in your own numbers. Nothing leaves your browser.
Free templates
Working files, free, with your organisation’s name on them
The same files we’d set up with you: a readiness check before you build anything with AI, a lead tracker, a monthly management pack, a process map and an AI use policy. Tell us your sector and we fill in the examples.
Illustrative scenarios
Problems you might recognise, and what we’d do about them
Audit firm
Juniors spend much of each engagement copying client data into working papers and chasing documents by email.
AI Workflow AutomationJuniors back on audit work, with the formatting done for them.
We would map the document request and preparation steps across a typical engagement. A likely design tracks client requests in one place and populates standard working papers from client data, with staff reviewing every figure before sign-off.
AI Workflow AutomationCommercial bank
Each month a team pulls figures from several systems into spreadsheets to prepare returns to the regulator, under deadline.
Business Data AnalysisA monthly return the team checks instead of rebuilding.
We would trace each return line back to its source, agree definitions with finance and risk, and build a repeatable extraction and reconciliation so the team reviews exceptions instead of rebuilding the return.
Business Data AnalysisDistribution company
Every credit order needs three signatures whatever its size, and customers call to ask where their goods are.
Business Process OptimisationRoutine credit orders that need one signature.
We would map the order-to-dispatch process and measure where orders wait. We would expect to propose approval limits so that routine orders within a customer's credit terms need one sign-off, a single point of data entry and a named owner for each stage, written up as a procedure staff can follow.
Business Process OptimisationPrivate hospital
Bills and insurance claims stall while folders move from ward to records to accounts.
Business Process OptimisationKnowing where every patient's bill is, without walking to accounts.
We would follow a set of discharges from ward to payment, measure where time is lost and why claims are rejected, then redesign the handoffs with one owner per stage and a checklist that catches missing details first.
Business Process OptimisationInsurance broker
Staff retype proposal forms into the policy system and chase clients for missing documents.
AI Workflow AutomationProposal forms checked and filed the day they arrive.
We would map the onboarding workflow and count how often each kind of exception occurs. A likely design would extract details from incoming documents, check them for completeness and draft the request for missing items, with a member of staff confirming each case before anything enters the policy system.
AI Workflow AutomationLaw firm
Associates are using public AI tools and the partners don't know what client information goes into them.
AI TrainingAssociates who draft faster with AI, and partners who know how it's used.
We would begin with a partners' session on what the tools can and can't be trusted to do, and agree rules on confidentiality and checking. Associates and support staff would then be trained separately, using the firm's own document types, on drafting, summarising and review with those rules built in. Repetitive tasks raised during the sessions would be listed for the partners to consider afterwards.
AI TrainingLaw firm
Intake runs on emails and photocopies, and conflict checks depend on someone remembering past clients.
Business Process OptimisationNo new matter opens until conflicts and identity are checked.
We would map intake from first contact to engagement letter and agree who owns each check. The redesign would use one intake form, a searchable record of past parties for conflict checks and a simple rule that no matter opens until both checks are recorded.
Business Process OptimisationMicrofinance institution
Loan applications are filled on paper in the field, then typed into the system at the branch.
AI TrainingField officers using AI on their phones, with rules they understand.
We would train officers and branch managers on safe, useful ways to use AI in their own reports and client follow-up, agree clear rules on client data, and note the retyping at the branch as the next thing to automate.
AI TrainingNGO
Programme data sits in field spreadsheets, and each donor wants it in a different format.
Business Data AnalysisOne set of field data, and every donor's report drawn from it.
We would agree a single set of indicators with programme leads, set up one shared structure for field data and build reports that draw each donor's format from the same source, with gaps flagged as the data arrives.
Business Data AnalysisSavings and loans company
The management pack is assembled by hand and arrives in the third week of the following month.
Business Data AnalysisThe management pack on the table in the first week of the month.
We would establish which decisions the pack is meant to support, which measures matter and where the figures diverge. We would then agree one definition for each key measure, draw the data from its source in a repeatable way and redesign the pack so that exceptions by branch and product are visible on the first page.
Business Data AnalysisGrowing retail business
Most sales enquiries arrive on WhatsApp after hours, and many go cold before anyone replies.
AI Workflow AutomationEvery WhatsApp enquiry answered, even at night.
We would set up a WhatsApp Business account with instant replies covering prices, delivery and payment options, log every enquiry in one shared list, and remind staff to follow up any lead without a reply or a sale within two days.
AI Workflow AutomationTax practice
Filing deadlines for dozens of clients live in one spreadsheet, and documents are chased at the last minute.
AI Workflow AutomationEvery client deadline in view, and documents asked for early.
We would map the filing calendar and document requests. A likely design sends each client a dated request list with automatic reminders, tracks what has arrived in one shared view and alerts managers to deadlines at risk.
AI Workflow AutomationUniversity
Application documents arrive by email and in person, and staff key them in by hand during the busiest weeks.
AI Workflow AutomationApplicants who know where they stand without phoning admissions.
We would map the intake from application to offer. A likely design captures every application in one record, checks documents for completeness and sends status updates automatically, leaving decisions to staff.
AI Workflow Automation