Too many ideas, no first step
Everyone has a use case. Nobody has ranked them by value, effort and readiness, so nothing starts.
AI consulting services and workflow automation for US small and mid-sized businesses. We find where AI pays off, build it into the systems you already use, and keep it working after launch.
First step: the AI Opportunity Review. Scope and price are agreed before work begins.
Small and mid-sized businesses rarely lack ideas for AI. What they lack is the time and in-house expertise to turn one idea into a tool their team uses every day.
Everyone has a use case. Nobody has ranked them by value, effort and readiness, so nothing starts.
A promising test works on clean examples, then stops when it meets real data, real systems and real exceptions.
Off-the-shelf AI tools add another login. The work still happens in email, documents and the CRM.
Rank your AI opportunities by value and effort, check feasibility, and leave with a scoped pilot plan.
02 / Automate the workWorkflow automation for documents, enquiries, CRM updates and support, with people reviewing the exceptions.
03 / Connect your systemsConnect AI to your CRM, inbox, documents and databases so it works inside the tools your team already uses.
04 / Keep it workingWe review outputs, resolve exceptions and improve the workflow after it goes live.
Owners and operations leads at small and mid-sized US businesses who lose hours every week to repetitive work in email, documents, spreadsheets, the CRM or customer support. You do not need a data team or a written AI brief. You need one workflow worth improving.
Each step ends with a decision, so you only commit to the next stage when the evidence supports it.
Map the workflow, measure the time it takes today, and agree the outcome worth improving.
Review sample data, system access, dependencies and who approves what.
Build the smallest useful version and test it against agreed acceptance criteria.
Integrate, document, train the team and agree the support needed afterward.
After launch we review outputs, resolve exceptions and improve the workflow on an agreed schedule. Many providers stop at handover.
The AI Opportunity Review is a defined first engagement that ends with ranked use cases and a scoped pilot plan, not a slide deck.
Test cases and approval owners are agreed before the build. Wider rollout follows an explicit go or stop decision.
We build inside the tools you already use. Data access, confidentiality and ownership are agreed before work starts.
Illustrative examples. Scope and feasibility are assessed in the AI Opportunity Review.
An intake workflow reads enquiry emails and web forms, creates or updates the CRM record, assigns an owner and flags missing details before follow-up.
A document workflow extracts the required fields from orders, invoices or applications, checks completeness and queues anything ambiguous for a person.
A support assistant drafts replies from your help content, cites the source, and routes anything it cannot answer to the right person.
A workflow matches incoming documents to records, prepares exceptions for review and drafts reminders for a person to approve.
Strategy (finding and ranking AI opportunities), implementation (building and integrating the workflow), and operations (human review and improvement after launch). You can start with any one of them.
Its length is agreed at the start, based on how many workflows are in scope. It ends with ranked use cases, a scoped pilot proposal and a list of prerequisites.
The price of the AI Opportunity Review is agreed before it starts. Pilot and implementation costs depend on scope, systems and support coverage, and are set out in a proposal before work begins.
No. We work with the information and systems you have, starting with representative samples. The review tells you what, if anything, needs to be prepared.
We review the results with you and agree whether to revise the approach, resolve prerequisites, or stop. Wider deployment only follows an explicit acceptance decision.
Confidentiality, permitted access, data handling and ownership are agreed in writing before any information or system access is shared.
Yes. Formals can support a defined engagement or work within an existing delivery team.
Start with an AI Opportunity Review: one workflow, a ranked list of opportunities, and a practical first step.
Book an AI Opportunity Review