m00labs
Request a quote

Automation & Integration Sprint

One production workflow or integration — scoped with you, engineered properly and deployed inside the tools you already run. This package is for a specific, named workflow that is costing your team hours every week.

Request a quote
Abstract technical illustration: three translucent chambers connected left to right along one teal signal path, a gate between each, with a dashed return rail running back beneath them.
Workflow sequence

One workflow, from trigger to write-back

Illustrative concept
Swimlanes Direction of travel 01 · Trigger Event arrivesForm, inbox, schedule,webhook Item normalisedOne shape for theworkflow Routed by ruleDecides which path runs QueuedRetry budget attached 02 · Reasoning Model callOnly the fields it needs Result checkedShape, confidence, fields 03 · Human checkpoint Held for reviewSource shown beside thedecision Approved or correctedA person decides, not themodel Only what the scope marks asuncertain comes here. 04 · Systems of record API writeInto the tools you already run LoggedWhat changed, and when Error and retry lane Exception items keep their input and error detail, so nothing is silently dropped. Retried with backoff A rate limit or a timeout is retried automatically. Then held for a person Retry budget spent — the item lands in an exception queue.
01RequestA trigger arrives from asystem you already run —a form submission, aninbox, a scheduled job or awebhook.02Model callThe step that needslanguage or judgement issent to a hosted oropen-source model, withonly the fields the workflowdepends on.03Human reviewAnything uncertain is heldfor a person, with thesource alongside thedecision, instead of beingwritten through blind.04API writeThe confirmed result iswritten back into thesystems you already use,so the record of truth stayswhere your work lives.05Error and retry pathA failing call is retried withbackoff; once the budget isspent the item is held for aperson and logged. Thislane ships with the build, itis not a later addition.
  1. RequestA trigger arrives from a system you already run — a form submission, an inbox, a scheduled job or a webhook.
  2. Model callThe step that needs language or judgement is sent to a hosted or open-source model, with only the fields the workflow depends on.
  3. Human reviewAnything uncertain is held for a person, with the source alongside the decision, instead of being written through blind.
  4. API writeThe confirmed result is written back into the systems you already use, so the record of truth stays where your work lives.
  5. Error and retry pathA failing call is retried with backoff; once the budget is spent the item is held for a person and logged. This lane ships with the build, it is not a later addition.
Example input — synthetic, labelledsupplier_invoice.pdf vendor unread total unread po unread
Example output — synthetic, labelledrecord_id 0000-DEMO vendor resolved total resolved po linked

A stand-in example of the shape a workflow consumes and returns — not a client record.

Illustrative concept — not a client system. Four lanes carry one workflow: the trigger, the reasoning step, the human checkpoint and the write back into your systems. The dashed lane beneath is the error path that ships with the build. The example input and output are synthetic placeholders that show the shape of the data, not a real record.
  • Main path
  • Error and retry path

What the sprint ships

Typical targets include document and invoice processing, CRM hygiene and routing, support triage, and cross-tool data sync between two or three systems. The workflow is chosen with you in kickoff — or carried over from a Clarity Session or Opportunity Audit — and everything is scoped to that one deliverable.

The build runs on the right stack for the job: workflow orchestration, custom API code, or a combination, with hosted or open-source models where the workflow needs language or judgement. We are not tied to a template library — the workflow is built to fit how your operation actually runs.

What it produces: working software. The deliverable is one workflow or integration running in production against your real systems — not a specification, not a recommendation, and not a demo. It ends with the automation doing the work, and with your team able to operate it.

Who it is for

  • Operations teams with a process that is already understood and already painful: the same document arrives, the same fields get copied across, the same exception gets chased by hand.
  • Companies that can name the systems involved and the person inside the business who owns the process.
  • Teams that want the automation to fit the workflow they run, rather than changing the workflow to fit a template.

Who it is not for

  • Anyone still deciding whether AI is worth doing here at all. That is a Clarity Session or an Opportunity Audit; building first is the expensive way to find out.
  • A process with no stable system of record and no owner inside your business.
  • A wish for a general assistant that does many things. This package delivers one workflow, done properly.

What you bring

  • The process as it runs today: the trigger, the steps, where the exceptions go and who handles them now.
  • A named owner on your side who can answer questions and sign off the result.
  • Access and sample inputs for the workflow — documents, records, or a test environment that stands in for the real ones.

What we settle before any build work

  • The single deliverable, in writing: the trigger, the steps, the system of record, and what happens when the workflow cannot complete.
  • How data flows through the workflow, where the model calls run, and where hosting and access sit — agreed and documented in scoping, before any build work starts.
  • Who accepts the finished workflow, and what "working" means for that acceptance.

Where this sits among the five packages

The sprint is the package that puts new software into production. The other four either come before it or keep it running:

  • AI Clarity Session — advice: which of your candidate use cases is worth doing at all.
  • AI Opportunity Audit + roadmap — a ranked, sequenced plan of what to build and in what order.
  • Automation & Integration Sprint — this page: one existing process, put into production.
  • MVP Build — working software at product scale, rather than a single workflow.
  • AI Lab Partner — ongoing operation: what shipped keeps running and keeps being improved.

Compare the five packages to see what each one produces.

What is included

  • One defined workflow or integration, selected in kickoff with the buyer.
  • Build on the appropriate stack — workflow orchestration, API code, or both; hosted or open-source models as the job requires.
  • Error handling, logging, monitoring and security basics as part of the build, not extras.
  • Deployment to production, handover documentation and an operator walkthrough for your team.

What is not included

  • Multi-department or agentic systems — those are re-scoped as a larger build or MVP.
  • Ongoing maintenance beyond the sprint; the AI Lab Partner covers that as a standing engagement.
  • Data migration, changes to third-party SaaS contracts, or hardware.

Name the workflow you want to automate.

Describe the process that eats your team's time. The request is recorded, there is no automated reply, and no reply time is promised. hi@m00labs.com is the published email address.

Want to see the shape first? Our document-to-CRM walkthrough steps through the same sequence on synthetic data — trigger, extraction, human review, write-back. It is a simulated demo, not a client project, and not the deliverable. Open the synthetic workflow demo

Request a quote See all packages