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AI Opportunity Sprint. Find the right first job to automate

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AI workflow automation

One repetitive job, connected from start to finish. Built into your existing systems, with exceptions handled and the result measured.

Built around the job.

Uppercut Labs implements AI workflow automation for UK and US businesses. We connect events in the tools you already use to a defined sequence of actions: read an enquiry, classify it, prepare a reply, update a record and route it for approval. We start with one process so you can see whether it earns its place.

Ordinary automation handles rules, schedules and data movement. AI helps with unstructured input: an email that needs interpreting, a document with inconsistent wording or meeting notes that need turning into a draft action list. Keeping those roles separate makes a workflow easier to test and maintain.

The useful question is not how much you can automate. It is which recurring job has enough volume, a clear outcome and manageable exceptions. We measure the existing process, check integration access and agree what happens when the system cannot complete a step.

First Workflow Live
£1,950$2,600 · GBP excludes VAT where applicable.
Typical delivery
2-3 weeksSubject to agreed scope, system access and data readiness.
Start with a plan
£1,000Opportunity Sprint, credited against your subsequent build.
After launch
From £600/moOptional agreed operations scope. Usage and hosting are separate.

Jobs it can do.

Example scopes to discuss, not claims of client results. Each needs access checks and a clear owner.

Enquiry to CRM

Someone reads every inbound enquiry, copies the details and assigns the follow-up.

Read the approved inbox or form, identify the request, check for an existing contact and prepare the CRM update. Draft a reply using the information you have approved.

Missing contact details, ambiguous requests and suspected duplicates go to review. Customer-facing messages follow your approval policy.

Documents to a review queue

Your team retypes details from documents into a spreadsheet or business system.

Extract the agreed fields, validate required values and compare them with the relevant record. Present the source document beside the proposed update.

An extracted value is not automatically a verified fact. Failed checks and mismatches need a person; payment or approval authority stays separate.

Meeting to tasks

Actions remain buried in notes after a call ends.

Turn approved meeting notes into a draft set of tasks, owners and dates, then route the list to the meeting owner before updating the project system.

The workflow should not invent a deadline or assign responsibility where the notes are unclear. Retention and recording permissions are agreed first.

A clear scope. A useful handover.

Included in the agreed build

  • One workflow with an agreed trigger and finish line
  • The integrations and field mappings in the agreed scope
  • Input validation, retries and duplicate handling
  • Review queues and a documented manual fallback
  • Before-and-after measurement against agreed criteria
  • Training, runbook and account handover

When it makes sense

Best for a frequent, repeatable process where the source and destination are known and exceptions can be described. An inbox, CRM, calendar or document queue is often a useful starting point.

When to choose something else

Fix the process before automating it if nobody agrees on the rules. Use deterministic automation where it is sufficient. Consider an agent only when the system needs to choose among several permitted routes based on changing context.

From process to production.

  1. Map the current work

    Record the trigger, inputs, tools, task volume, handling time and exceptions. Agree the baseline rather than guessing at a saving.

  2. Choose the simplest route

    Use ordinary rules for predictable steps and AI only where interpretation helps. Confirm API access, account plans, licensing and approval requirements.

  3. Build the exception path

    Prevent duplicate updates, handle retries and route uncertain outputs to a human. Test with real samples and deliberately incomplete inputs.

  4. Compare and hand over

    Compare handling time and errors against the baseline. Train the owner, document recovery and agree who monitors the workflow after launch.

Before you commit.

Which business tools can you connect?

We review the tools you use and their actual API access. Microsoft 365, Google Workspace, HubSpot, Slack, Teams and project-management tools are common candidates. An available integration does not guarantee every action is supported on your account plan.

Do you use Zapier, custom code or another automation platform?

We choose the implementation around maintainability, integration support, cost and the team's skills. Existing automation platforms can be the right choice; custom code makes sense when their limits or operating costs do not fit the process.

How do you measure whether the automation worked?

Agree task volume, handling time, correction rate, review effort and operating cost before building. Compare the same kind of work after launch. Recovered staff time is capacity; it is not automatically a cash saving.

What happens when the AI or an integration fails?

The workflow needs a visible exception path, useful logs and a way to complete the task manually. We agree retry rules, duplicate protection and the person responsible for unresolved work. A silent failure is not an acceptable handover.