Service
An AI automation consultant that finds the process, then builds the system
Most AI consulting for small business starts with a technology and looks for somewhere to put it. We start with one workflow that costs you real hours, work out whether AI, plain automation, an integration, a small tool, or nothing at all is the right fix, and give you the answer in writing with a price and a timeline. Then, if you approve it, the same team builds it. Sometimes the honest answer is "don't automate this." You get that in writing too.
How it works
One workflow, a free assessment, a written plan
- 01
Assess one workflow
You tell us about one repetitive, costly process. We look at how it really runs today, with the people who run it.
- 02
Decide what it needs
AI, plain automation, an integration, a small tool, or nothing. We say which, and why, in writing.
- 03
Design it with you
A written plan for the new process showing exactly where a person stays involved, with a price and timeline.
- 04
Hand off to implementation
If you approve, the same team builds it. If you don't, you keep the plan and owe nothing.
Fit
Who this is for
Good fit
- 5 to 500 employees, with a lot of day-to-day operations
- An owner or operations lead who can make the call
- One repeat process that's costing real money
- You want to keep your current software, not replace it
Not a fit
- You want an AI strategy deck rather than a working process
- Pre-revenue startups
- You don't want to change how the process works
The role
What an AI automation consultant does
The title covers a range, from slide-deck strategy to hands-on building. Here is the version we practice.
Finds the process
Watches the work as it really runs, with the people who do it, and pinpoints the repetitive, error-prone steps that cost the most.
Decides the fix
AI, plain rules, an integration, a small tool, or no automation at all. The recommendation comes with the reasoning and the risks.
Designs it with you
A written plan showing where a person stays involved, which systems it touches, what it costs, and how long it takes.
Builds and runs it
The same team implements the system, connects it to your software, and supports it after launch. No handoff to a stranger.
Consulting vs implementation
Where consulting stops and implementation starts
They are two phases of one engagement. You can stop after the first.
| Aspect | Consulting (assessment and plan) | Implementation (build and run) |
|---|---|---|
| What happens | We study one process, decide what it needs, and write the plan | We build, connect, test, and launch the system from that plan |
| What you get | A written review, feasibility call, price, and timeline | A working system, an audit log, and support after launch |
| Cost | The assessment is free | A written price, agreed before anything is built |
| Your commitment | None. The plan is yours either way. | Sign-off on the detailed design before the build starts |
What an engagement can include
From one workflow to a connected set of them
- A free assessment of one process, ending in a written review
- A feasibility call, including when automation isn't worth it
- A design with rules, AI steps, human approvals, and exception handling drawn out
- The build, connected to the systems you already run
- Testing on your real, messy cases before go-live
- Launch, monitoring, and tuning as volume and edge cases change
- Follow-on workflows once the first one proves itself, if you want them
What we typically implement
The processes that come out of an assessment most often
Each of these has its own page describing what gets built. The consulting step decides which ones your business needs.
Document-heavy work
Invoices, orders, forms, and certificates read, checked, and routed instead of retyped. See AI document processing.
Multi-step operational workflows
Approvals, handoffs, onboarding, and status tracking that currently live in inboxes and spreadsheets. See workflow automation.
Disconnected systems
CRM, ERP, and accounting software that make someone re-enter the same data. See systems integration.
Gaps no software covers
A small internal tool or custom AI feature when nothing off the shelf fits. See custom internal tools.
Marketing that leaks leads
Ads nobody has time to optimize, slow follow-up, and a CRM that's always behind. See AI marketing.
Examples of workflows
Examples of workflows we assess
- A shared inbox where orders, questions, and documents arrive mixed together and are sorted by hand
- Quotes that need one or two approvals and stall because someone forgot to forward an email
- Month-end reports assembled by copying figures between systems
- New client or employee onboarding that depends on one person's checklist
- Invoices and purchase orders keyed into the ERP from PDFs
- Customer records that differ between the CRM and the accounting system
Build vs buy
When to buy software, and when to build
A good consultant will sometimes tell you to buy. We do, when it's the right answer.
| Aspect | Buy off-the-shelf | Build custom around your systems |
|---|---|---|
| Fits when | The process is standard and the product already does it | The work spans several systems or follows rules specific to your business |
| Strength | Fast to start and maintained by the vendor | Matches how you already work; keeps your existing software |
| Watch for | Changing your process to fit the tool, and one more system to check | The build has to be worth the volume it saves |
| Our advice | If a product covers 90% of it, buy it | If the hours go into the gaps between tools, build it |
Cost factors
What influences what an engagement costs
We don't quote from a menu, because two processes that sound alike can differ a lot in effort. You get a written price after the free assessment.
For a fuller breakdown, see what AI automation costs.
- How many systems the process touches, and whether each has an API
- How messy the inputs are: clean forms versus emails, scans, and free text
- How many approval steps and exception paths exist
- Volume: how often the process runs
- How much has to be tested against your real records before launch
- Whether you want ongoing monitoring and tuning after launch
After the assessment
What happens after the assessment
You receive the written review
What we found, what's worth automating, what isn't, and the reasoning. It is yours whether or not you continue.
You decide
Move forward, do it yourself with the plan, or stop. There's no obligation and no pressure.
We finalize the design
If you continue, we refine the plan into a detailed design and you sign off before anything is built.
We build, launch, and support it
The system goes live on real cases, is monitored, and is tuned. The same team that designed it runs it.
What you get
What comes out of the assessment
A written review of the process
Where the hours and errors actually come from, in plain language, based on watching the work rather than the org chart.
An honest feasibility call
Whether this is worth automating at all, what should stay with a person, and what the risks are. If the answer is no, we say no.
A written price and timeline
If it is worth doing: what we'd build, which systems it touches, what we need from you, and what it costs. No obligation.
A plan you can keep
The written plan is yours whether or not you hire us to build it. Some businesses use it to do the work themselves.
Rules vs AI
How we decide what should be AI, what should be a rule, and what should stay human
This is the core of the consulting work, and it's where most AI projects go wrong. The order matters.
Rules first
If a step can be written as 'when this, do that' and the answer is always the same, it gets a rule. Rules are exact, fast, cheap, and easy to check. Most of any workflow belongs here.
AI where judgement is needed
Reading an unstructured email or document, deciding what kind of request something is, drafting a first version. Every AI step gets a confidence threshold and a person behind it.
Integration where the problem is re-typing
If the real cost is the same data entered into two systems, the fix is a connection, not a model. We say so.
People for the decisions
Approvals, money, hiring, disputes, and anything you tell us must be reviewed. The system prepares the decision. A person makes it. That line is drawn in the plan.
What we need from you
What an assessment needs to be accurate
- Time with the people who do the work each day, not just the manager
- A look at the systems in play, plus the spreadsheets and workarounds
- A sense of volume: how often this happens and how long it takes
- Real samples: real documents, real records, real messy cases
- One person who can sign off on how the new process should work
Data handling
How your data is handled during an assessment
An assessment involves looking at real examples of your work, so we say plainly how that's handled. We only access the systems and data the assessment needs, and you control that access. Your business information is never used to train outside models or shared beyond your project. Anything we build later logs every automated action with what changed, when, and why. And nothing goes live until you've reviewed the designed workflow and signed off.
If your process touches personal, financial, or regulated information, your counsel decides what safeguards apply. Our job is to design so those safeguards are easy to show.
Same work, different labels
AI consultant, AI automation consultant, business process automation consultant
Businesses search for this help under several names. They describe the same work at different distances from the build.
AI consultant
Advice on what AI, if anything, should do in your business. Ours is at the level of a workflow, not a slide deck.
AI automation consultant
Someone who assesses a process, designs the automation, and builds it or specifies it so someone else can. That is the assessment plus the written plan.
Business process automation consultant
The same role with the emphasis on the process rather than the AI. Most of what a good one recommends is rules and integration, with AI only where it earns its place.
AI implementation consultant
The emphasis on getting it running. We stay through implementation, so the design and the build share one owner.
Honesty
When we'll tell you not to automate
- The process changes every few weeks and nobody owns it yet
- The volume is too low for the build to pay for itself
- The real problem is a decision someone is avoiding, not a task
- The inputs are so inconsistent that a person would still review everything
- An off-the-shelf tool already does it well and you just need to switch it on
What we build after the plan
Implementation services
Where we work most
Industries
Before you decide
Guides
FAQ
AI consulting: common questions
What does AI consulting cost?
The assessment is free. It ends with a written review of your process and, if automation makes sense, a written price and timeline for building it. You only pay if you decide to move forward, and then half the setup fee is a refundable deposit until you approve the detailed design.
How long does an assessment take?
Long enough to see the process for real: a conversation with the people who run it, a look at the systems, and some real examples. For most single workflows that's a matter of days, not weeks. You'll get the written summary and a follow-up call at a time you choose.
Do we need a technical team for this?
No. Most of the businesses we work with don't have one. You need someone who knows the process and someone who can make the decision. We handle the technical side, from design through build and support.
Will you work with the software we already use?
Yes, wherever it can support the new process. Keeping your existing tools is the default. If a tool genuinely can't do the job, the plan says so and shows the options before anything is built.
What does an AI automation consultant do?
Finds the repetitive or expensive manual processes in a business, works out whether AI, plain rules, an integration, a small custom tool, or nothing is the right fix, and writes that down with a price and timeline. We also build and run what we design, so the plan is never handed to someone who has to guess what we meant.
What's the difference between AI consulting and workflow automation?
Consulting is how we work with you: assessing, designing, advising, and building the solution together. Workflow automation is what gets built: the operational processes themselves, such as approvals, handoffs, and data moving between systems. Every project starts with the consulting step, and you can stop there if the answer is 'not worth it' or 'do it yourself'.
Should we hire an AI consultant, an agency, or a freelancer?
It depends on whether you need advice, a build, or both, and who is accountable when it runs. A consultant who only advises leaves you to find a builder; a build-only shop starts without understanding the process. We do both under one written plan, which means the person who studied your process is the person accountable for the system.
Do you work with businesses anywhere in the US?
Yes. The assessment, design, and check-ins all happen over video and email in your time zone, and every project follows the same written plan and sign-off process wherever you are.
Get started
Tell us about one process. We'll tell you what it needs.
A free assessment ends with a written review, an honest feasibility call, and, if it makes sense, a price and timeline. No cost, no obligation.
You'll get a written summary of what we find, whether or not you move forward.
Serving businesses nationwide
We work with businesses in every state.
A few states have their own page with local detail. The list is selective, not a limit on where we work.