What to expect from a typical engagement — from the first conversation to a production automation your team owns.
A typical AI automation consulting engagement follows five phases: discovery, assessment, implementation, testing, and handoff. The entire process takes 6 to 10 weeks for a single-workflow automation and 3 to 6 months for multi-workflow projects. The consultant's goal is to deliver a working automation that your team can own and maintain independently.
If you have never hired an AI automation consultant before, the process can feel opaque. What exactly do they do? How much of your team's time will it require? When do you start seeing results? This page walks through each phase of a typical engagement so you know what to expect and how to prepare.
Duration: 1–2 weeks
The discovery phase is where the consultant learns your business. They conduct stakeholder interviews with the people who actually do the work — not just managers, but the team members who process documents, enter data, and handle exceptions. They map your current workflows step by step, noting where time is spent, where errors occur, and where bottlenecks form.
During discovery, the consultant also collects sample documents. These samples are critical because they reveal the variation in your data: different vendor formats, handwritten fields, poor scan quality, multi-page documents, and edge cases that your team handles routinely but that an automation needs to be explicitly taught. A good consultant will ask for 50 to 100 representative documents, not just the 5 cleanest examples.
The output of discovery is a current-state assessment that documents your workflows, quantifies the automation opportunity (time saved, errors reduced, cost impact), and identifies which processes to automate first based on ROI and feasibility.
Duration: 1 week
With discovery complete, the consultant designs the technical solution. This includes selecting the right tools and platforms for your specific needs, designing the data flow from input documents to your downstream systems, defining extraction rules and validation logic, and planning how the automation will handle exceptions and edge cases.
The architecture phase produces a detailed implementation plan: what will be built, in what order, with what dependencies, and at what cost. This is the document you should review carefully before giving the green light to proceed. It should be specific enough that you can hold the consultant accountable for deliverables and timelines.
Duration: 2–4 weeks
Implementation is where the automation gets built. The consultant configures extraction templates, writes workflow logic, builds integrations with your existing systems, and develops the validation rules that ensure data quality. Most consultants work in iterative sprints — building a piece of the automation, demonstrating it, gathering feedback, and refining.
Your team's role during implementation is to provide feedback on demos, answer questions about edge cases, and validate that the automation handles your real-world documents correctly. Expect weekly demo sessions where the consultant shows working functionality and you provide direction on what needs adjustment.
Duration: 1–2 weeks
Testing is where the automation proves itself against reality. The consultant processes a large batch of real production documents through the system and measures accuracy at the field level. They identify documents that the automation handles poorly, investigate the root causes, and implement fixes.
Good testing includes stress testing at your actual production volumes, edge case testing with unusual or damaged documents, integration testing to verify data flows correctly into downstream systems, and user acceptance testing where your team validates that the output meets their standards. The goal is to enter production with confidence, not hope.
Duration: 1 week + ongoing support
The handoff phase transitions ownership of the automation from the consultant to your team. This includes comprehensive documentation of the system architecture and configuration, hands-on training for the team members who will operate and maintain the automation, a runbook for common maintenance tasks (adding new document templates, adjusting extraction rules, troubleshooting errors), and a support period — typically 30 to 90 days — during which the consultant is available to help with production issues.
The mark of a good handoff is that your team feels confident operating the system independently. If the consultant's departure creates anxiety, the handoff was incomplete.
AI automation is not something a consultant does to your business — it is something they do with your business. The most successful engagements involve active participation from your team at key moments. Here is what you should be prepared to contribute:
Someone who can answer questions, make decisions, and provide feedback without scheduling a committee meeting. This person does not need to be technical — they need to understand the business process being automated.
50 to 100 documents that represent the full range of what the automation will handle. Include the messy ones — poor scans, unusual formats, handwritten annotations. These are the documents that will test the automation's limits.
API credentials or sandbox environments for the systems the automation will integrate with — your ERP, accounting software, CRM, or document management system.
5 to 10 hours per week during discovery, 2 to 3 hours per week during implementation. This time is invested in ensuring the automation actually solves your problem, not just a simplified version of it.
A single-workflow automation typically takes 6 to 10 weeks end-to-end: 1 to 2 weeks for discovery, 1 week for architecture, 2 to 4 weeks for implementation, 1 to 2 weeks for testing, and 1 week for handoff. More complex multi-workflow projects take 3 to 6 months. These timelines assume reasonable availability from your team for feedback and testing.
You should have a clear idea of which process you want to automate, sample documents that represent the full range of variations you handle, access to the systems the automation will integrate with, and a designated point of contact who can answer questions and make decisions. You do not need a technical specification — that is what the discovery phase produces.
Your team's involvement is highest during discovery (providing context, answering questions, sharing documents) and testing (validating results, identifying edge cases). During implementation, involvement drops to weekly check-ins and occasional feedback sessions. Plan for 5 to 10 hours per week from your project sponsor during discovery, and 2 to 3 hours per week during implementation.
Good consultants build testing phases into their process specifically to catch issues before production deployment. If problems arise during testing, the consultant iterates on the solution — adjusting extraction rules, adding validation logic, or handling newly discovered edge cases. If problems arise after handoff, most consultants include a 30 to 90 day support period in their engagement.
Yes, if the consultant does their job well. The handoff phase should include thorough documentation, hands-on training for your team, and a clear runbook for common maintenance tasks like adding new document templates or adjusting extraction rules. Ask about handoff expectations upfront — if a consultant cannot articulate how they will transfer ownership, that is a warning sign.