A defined first use case
Map the inputs, systems, exceptions, and people involved. Agree what a useful result looks like before implementation.
AI automation · US teams · Remote delivery
AI automation for work that repeats.
Start with one useful workflow. Build from evidence.
If your team spends hours finding information, processing documents, or moving data between tools, we can help you scope and build an AI workflow around the systems you already use.
Discuss my AI workflowA focused workflow, an internal assistant, or an AI integration.
A clear scope, from the start
What we can deliver.
An integrated workflow
Document intake, classification, extraction, internal search, or an assistant grounded in approved company knowledge.
Evaluation and ownership
Test representative cases, define human review and escalation, and document operation, limitations, and ongoing responsibilities.
Start with a real business problem
Where should we begin?
Describe the repeated task, the tools involved, the volume of work, and what a good outcome would look like. We assess feasibility before recommending a build.
- Route and review incoming documents
- Find answers in approved company knowledge
- Connect an AI step to an existing business process
Working together from the US
Remote delivery, with the details agreed upfront.
01 / Share the essentials
Send your problem, current tools, and preferred timing. You can express your planning budget in US dollars or euros.
02 / Agree the scope
We discuss feasibility, deliverables, access, fees, and responsibilities. Share your time zone so meeting times can be agreed before kickoff.
03 / Build and hand off
Work follows agreed milestones, with written updates, review points, and a documented handoff. Ongoing support can be scoped separately.
Before we start.
Do we need to choose an AI model first?
No. Start with the workflow and its requirements. Model choice, integrations, evaluation, and operating costs follow from the problem we agree to solve.
Will the workflow need human review?
We define review and escalation points around the consequences of errors. Sensitive decisions and exceptions should have clear human ownership.
Can you work with our existing systems?
We assess available APIs, data access, security requirements, and operational constraints during scoping. Integrations and any third-party costs are agreed before implementation.
Tell us what needs to work better.
A short brief is enough to start. We review the context and suggest the next step before you commit to a project.
Discuss my AI workflow