Pricing
Pricing starts with discovery because the useful AI opportunities are hidden inside the way your team already works: admin, handoffs, checks, reporting, and repeat questions.
Best first step
£1,500
Discovery maps where paid time is leaking before a build is priced.
Find the saving
Identify repeated work worth automating.
Scope the route
Pick the smallest useful pilot.
Price with evidence
Build only when value and risk are clear.
Packages
Start with discovery when the opportunity is unclear. Move to implementation once the repeated workflow, value, and guardrails are understood.
Best first step
£1,500
Half-day consultation with a written report and prioritised roadmap.
Good fit when
You know admin is costing time, but need a clear view of what is worth automating.
Deeper operational review
£2,000
Full-day deep-dive with broader operational context and follow-up walkthrough.
Good fit when
Several teams, tools, or handoffs are involved and you need more context before choosing the first pilot.
Outcome
A fuller roadmap with implementation priorities and rollout considerations.
Plan a full reviewBuild work
Custom
Scoped from Discovery. Most projects land between £3,000 and £10,000+.
Good fit when
You have a clear workflow to improve and want Synced to design, build, hand over, and support the system.
Implementation pricing
Most implementation work is priced after discovery because cost depends on the workflow, data, existing tools, and the level of human review required.
How many steps, exceptions, approval paths, and people are involved.
Whether the current systems have clean APIs, exports, permissions, and reliable data.
How much judgement, escalation, compliance, or approval is required before automation acts.
How much training, documentation, stakeholder alignment, and support the team needs.
What to expect
The point of pricing is not to sell the biggest possible build. It is to find the smallest useful step that can show whether AI automation belongs in the workflow.
Implementation is scoped from real workflow evidence, not guessed from a quick call.
We look for avoidable admin cost and repeated effort, then prioritise the fixes most likely to pay back.
Systems are handed over with documentation, source code, and sensible guardrails.
Retainers make sense once a system is live and there is real usage to improve.
Next step
The quickest route is a discovery conversation, then a scoped recommendation based on what your team repeats, what it costs, and what can realistically be automated.
Bring one repeated admin task, handoff, or reporting workflow. We will help you work out whether AI is worth applying to it.
No build commitment from discovery. No lock-in. No vague AI theatre.
Book a discovery callSee workflow auditDiscovery output
Repeated task
What keeps coming back
Practical route
What to improve first
Clear next step
What is worth scoping