What we do
Sofpact is led by an operator who held the chief operating officer’s seat and the product owner’s seat on the same regulated platform, who has both opened physical sites and shipped the app that serves them, and who still builds the first working version himself. Five practice areas, one person accountable, and AI used only where it earns its place.
What happens after you send it
One workflow, constraint or decision. Early-stage questions are welcome.
Scope, duration and a fee. If it is not a fit, that is the reply — along with a view on who would be better placed.
Nothing is charged, and sending the request commits neither side. Any fee is quoted in writing and agreed separately, once the work has been scoped.
Fixed prices, agreed in writing before work starts, excluding VAT. A working session is £1,500 remote or £2,500 on site, and its fee is credited in full if an AI strategy discovery or Sprint is commissioned within 30 days. An AI strategy discovery is £3,000–5,000, set by how many departments it covers. Sprints are quoted per phase once scoped; embedded support is billed as a fixed monthly fee. Clients in the EU are quoted in euros.
On your own infrastructure by default. The validation logic is ordinary code and touches no model. Where a model is needed, your security team chooses local or EU-hosted.
Radko leads every engagement and stays in it. Builds, integrations and data migrations are delivered with a trusted network of engineers and data specialists, with roles agreed with you in the scope, working under the same accountability — never sub-contracted out of sight.
How the work is bought
The five practice areas above are what you get. These are the shapes it comes in. Each one ends at a decision, and none of them assumes the next.
One day
A single working day on the problem, with a written summary within three working days. For when something is clearly wrong but not yet defined — or when you want to see how the thinking works before committing to more.
Fits whenThe problem is real but not yet named
Five days
Interviews, evidence review and a decision workshop. Produces a prioritised set of use cases, each with an internal risk tier and the human oversight it needs, a readiness view across data, controls and ownership, the baseline each change has to beat, and a clear recommendation on what not to do. Already running pilots? The same five days decide which to scale, fix or stop.
Fits whenA board asking for an AI plan, several candidates or stalled pilots
Two to six weeks
One workflow taken from mapped to working, tested with representative data, with human oversight and controls matched to its risk. Ends with the result measured against the baseline, what it will cost to run, and a scale, revise or stop recommendation you can put in front of a board.
Fits whenOne workflow is worth proving
Three months or more
Fractional or interim leadership where delivery crosses product, operations, risk and technology. Named outcomes, an owner in every affected team, training by role, a straight answer about what changes in each job, and an explicit handover.
Fits whenDelivery needs someone accountable inside
How the work runs
Every stage has a defined decision, visible artefacts and an exit. The aim is useful capability, not permanent consultancy dependency.
Outcome, workflow, users, constraints and accountable sponsor.
Data, risk, oversight, security and evidence requirements.
Working artefacts, user feedback and operational measures.
Roles, routines, documentation and the next decision.
FAQ
Operations, finance and product leaders in mid-market and scale-up organisations — accounting and legal practices, fintech and payments, retail and FMCG, multi-site operators — who need one workflow automated, one system changed or one decision made on evidence.
No. The AI strategy discovery is designed for organisations with several ideas, unclear priorities or open questions about data, controls and sign-off. A Sprint is more appropriate when one bounded workflow is already a credible candidate.
Yes. An AI strategy discovery reviews the pilots in scope against the baseline each was meant to beat, finds what actually blocks production — data, integration, ownership, running cost or the model itself — and recommends scale, fix or stop for each. Stopping a pilot on evidence is a result, not a failure.
Both. Radko builds first versions himself. Production builds, integrations and data migrations are delivered with a trusted network of engineers and data specialists, with roles agreed with you in the scope, working under the same accountability. A Sprint ends with a working prototype and a scale, revise or stop recommendation.
Yes — as part of the work, not as a separate policy document. Every AI strategy discovery, Sprint and embedded engagement names who owns each AI system and decision in its scope and sorts use cases by risk, so attention goes where the exposure is. Anything built or taken live also gets access matched to roles and data sensitivity, the human oversight and production monitoring it needs, including checks for errors, bias and drift, and an audit trail that holds the evidence an auditor asks for. Sofpact does not give legal or regulatory advice: your counsel and data protection officer own the legal interpretation, and Sofpact builds the controls that put it into practice.
No. Recommendations follow the workflow, data, risk, integration and operating constraints. Sofpact does not require a preferred cloud, model or automation platform.
Sofpact works remotely across the UK, Bulgaria and wider Europe. The core website is available in English, German, French and Bulgarian. Engagements are normally delivered directly in English or Bulgarian; additional language support is agreed when required.
Prices are fixed, agreed in writing before work starts, and exclude VAT. A one-day working session is £1,500 remote, or £2,500 on site in the UK (travel at cost outside London and the Thames Valley), invoiced after the day — and the fee is credited in full if an AI strategy discovery or Sprint is commissioned within 30 days. A five-day AI strategy discovery is £3,000 for one department, £4,000 for two or three, and £5,000 organisation-wide for up to about 300 people (larger organisations are quoted after a call), delivered remotely with expenses included. Sprints are quoted as a fixed price per phase once scoped, because the cost depends on the systems, integrations and data involved. Embedded support is billed as a fixed monthly fee, set by the days a week it needs, with a three-month minimum. Clients in the EU are quoted in euros.
Not sure which stage fits?