Many AI projects are quoted by the hour and grow as they go. We scope each project to a defined deliverable, so you know the investment, the timeline and what you will receive before work starts.
Every engagement ends in a production system, not a demo. Pick the shape that fits your problem and we will confirm the details after a discovery call.
One clear use case, one system, fast time to value.
Multi-system AI with security and scale built in.
Several use cases, rolled out three months at a time.
Talk it through on a short discovery call with our team.
| Compare builds | Focused | Enterprise | Phased |
|---|---|---|---|
| Scope and delivery | |||
| AI systems delivered | 1 system | Multi-system | Several use cases, phased |
| System integrations | 1 to 2 | 3 to 5 | 3 or more, added per phase |
| Delivery timeline | About 3 months | About 3 months | 3 phases of about 3 months |
| Review point before the next phase | — | — | After every phase |
| Engineering | |||
| Production-grade from day one | Included | Included | Included |
| Custom language-model app, agent or decision layer | — | Included | Included |
| Security and privacy requirements scoped | Scoped with you | Included | Included |
| Data pipeline engineering | Basic | Included | Included |
| Handoff and support | |||
| Documentation | Included | Included | Included |
| Team training | Handoff session | Included | Per phase |
| Post-launch support | Agreed in your proposal | Agreed in your proposal | Agreed in your proposal |
| Commercials | |||
| Pricing model | Agreed scope and price | Agreed scope and price | Agreed price per phase |
| Typical investment | Quoted after a discovery call | Quoted after a discovery call | Quoted after a discovery call |
| Success measures agreed | In month one | In month one | In every phase |
| Payment schedule | Written into your proposal | Written into your proposal | Written into your proposal |
Ranges and terms are confirmed for a defined scope after your discovery call.
When a project is billed by the hour, the supplier has little reason to finish quickly and you carry the risk of scope creep. We agree the scope and the price up front, and these four factors decide the price.
How many tools we connect to: a single CRM, or five platforms including an older database.
How scattered or messy your data is, and how much preparation it needs before AI can use it.
Which requirements apply, such as GDPR, HIPAA or PCI-DSS, and what they mean for design.
How much training your team needs and what level of support you want after launch.
One scope, one timeline, one price, agreed before the build starts.
We learn your challenge, systems and constraints. A conversation, not a sales pitch.
We map the work to the effort it really needs, not to a sales target.
You receive a clear scope, timeline, price and the success measures we will track.
Scope and price are agreed, and we build to the plan with weekly demos.
It depends on the size of the problem. The main factors are the number of systems to connect, data volume and complexity, security and compliance requirements, and training and support needs. We cannot responsibly quote a number without understanding your scope, so we give you a ballpark on the discovery call and a written price in your proposal.
Billing by the hour gives little reason to move quickly and leaves you exposed to scope creep. With an agreed scope and price you know the investment before work starts, and the focus is on delivering the result.
We split it into phases of about three months. Instead of one long AI transformation: months 1 to 3, automate your top pain point and measure the result; months 4 to 6, scale to the next use cases; months 7 to 9, deploy across the business. You see value at the end of every phase and can stop after any of them.
Every project includes documentation and team training so your team can run the system. Post-launch support, and any ongoing monitoring or new features, are agreed in your proposal so you can choose the level that suits you.
The price covers the scope written in your proposal. If something new comes up, such as another system to integrate, a new data source or a requirement we did not know about, we flag it, explain the effect on timeline and price, and agree the change with you before going ahead.
The payment schedule is confirmed during scoping and written into your proposal before you sign anything, so there are no surprises.
Security and privacy requirements are planned from the start, which is usually more efficient than retrofitting them later. For regulated sectors such as finance and healthcare we factor requirements like GDPR, HIPAA or PCI-DSS into scoping, so they are reflected in your price.
Currency and payment terms are confirmed during scoping and written into your proposal.
The Focused build is the smallest engagement that delivers a production system rather than a demo. If you want to test the idea first, start with a discovery call and our AI readiness checklist. With a Phased transformation you can commit to phase one only and decide on the rest once you have seen the results.
The four factors above, applied to your situation: how many systems we connect to, how scattered or messy your data is, which compliance requirements apply, and how much training and support you need.
The discovery call is exploratory and without obligation: we learn your challenge and give you a ballpark timeline and the main factors that affect cost. A paid engagement starts only after you have a written proposal and agree to it.
Book a discovery call and we will outline the scope, timeline and price for your first project, usually delivered in about three months.