AI consulting that settles what to automate before you buy

Typically a workflow inventory, a prioritization matrix, readiness findings, a build-versus-buy view, and a sequenced roadmap — scoped to what you need.

No. The recommendation follows the operating requirement, and any commercial relationship is disclosed upfront.

Yes. We provide prioritization, architecture challenge and governance while your team retains implementation ownership, in the US or the UK.

You choose the route — implement internally, procure a product, or scope delivery with us. The roadmap stays usable whichever you pick.

Silverstone AI consulting is priced on application, because a focused review of one workflow and a full operating audit across several functions are different pieces of work. The basis — hourly, daily or a fixed fee — is confirmed before anything starts, and the published senior AI engineer rate is £150 / $195 per hour where work is explicitly priced by the hour. Implementation, if you choose it later, is quoted separately against its own published bands.

It depends on how many workflows, stakeholders, systems and decisions are in scope. Silverstone AI does not sell a universal audit or a fixed 90-day program, because a single vendor decision and a cross-functional operating audit are not the same job. In practice, duration is set by how quickly process owners can be interviewed and system access granted. Scope, the access required and the outputs are written into the proposal before work begins.

Yes. Silverstone AI is a London studio with US-based team members, and consulting runs for US and UK leadership teams alike. Engagements are quoted and invoiced in pounds or dollars, scheduled around your business hours, and account for where a decision differs by market — UK GDPR and Information Commissioner's Office guidance for a UK entity, sector and state-level rules for a US one, plus the CRM, telephony and finance stack each market actually runs.

All three are legitimate outcomes, and settling that question is what the audit exists to do. Silverstone AI compares them on control, time to value, integration effort, data dependency, vendor lock-in and the cost of operating the thing for years — not the license fee alone. Often the cheapest defensible answer is configuring a platform you already pay for, or fixing the manual process first. A custom build is recommended where the workflow is genuinely differentiating.

Yes. A vendor and architecture review is one of the most common reasons US and UK teams call. Silverstone AI reads the proposal against your actual workflow: what data the vendor assumes you can supply, which integrations are quoted rather than implied, who owns exceptions and monitoring after go-live, what the contract costs to leave, and whether the stated benefit can be measured against your baseline. Sometimes the finding is that the proposal is sound.

That is a valid and often valuable result. Silverstone AI has no delivery pipeline to feed, so a recommendation to wait is a real outcome — usually paired with the enabling work that would change the answer: cleaning a data source, naming an owner for exceptions, simplifying a disputed process, or clarifying a policy. A process should not be automated because it is manual, but because value, readiness and risk all support it.

No. Silverstone AI consulting does not give legal advice and does not certify anything. It identifies where specialist review is required and translates the technical context so that review is quick — which data leaves your network, where it is processed, what is retained, and which decisions must stay with a named, authorized person. Your counsel, data protection lead or security team makes the ruling; UK teams usually test it against UK GDPR and ICO guidance.

Fewer people than most leaders expect, but the right ones. Silverstone AI needs the process owners who actually run the workflows, someone who can grant read access to the relevant systems, and a decision-maker who can act on the result. Interviews are short and scheduled around operations. Engagements go badly when no process owner can take part — an audit built only from leadership assumptions describes the process the business thinks it has.

Usually read-level access or exported samples, not production credentials or a data migration. Silverstone AI reviews source systems, data quality, ownership, identifiers, access routes and retention to judge whether a use case is actually deliverable. Where access is slow to arrange — common in larger US and UK organizations — the audit works from structure, samples and interviews, and records that dependency openly instead of assuming the data will be ready.

Because the measurement is agreed before anything is built. Silverstone AI records the current baseline for each prioritized workflow — how long it takes, how often it runs, where it fails — then defines what would count as improvement, including the review and exception work that automation creates rather than removes. Released capacity only counts once it becomes faster service, more throughput or lower cost. A roadmap without a baseline can never be judged.