AI consulting & automation for small business
Make AI your team’s new favorite co-worker.
We find where AI will pay off in your business, build it into the tools your team already uses, and train your people to run it. Founder-led, with a vetted network of specialist partners.
- U.S.-based delivery
- Fixed scope, fixed price
- Vendor-neutral
Why this is worth doing
AI doesn’t replace your people.
It gives them their week back.
The hours AI takes off a team are the hours nobody wanted in the first place — retyping the same data, chasing the same follow-up, digging for the file somebody already made. What you do with those hours is the actual return: more time on the customer, the quote, the relationship, the thing only a person can do.
5.6hrs
Back, every week
What the average small-business worker saves with AI. Managers save 7.2 hours.
2026 Small Business AI Outlook Report, 1,009 US firms of 2–250 staff (opens business.com in a new tab)270hrs
Roughly seven working weeks
5.6 hours a week across a working year. Our arithmetic on the figure above, not a surveyed number.
Calculated: 5.6 × 48 weeks
24%
Of the smallest firms invest in AI
Against 75% of firms with 50 or more staff. The gap is the opportunity, and it is closing.
2026 Small Business AI Outlook Report (opens business.com in a new tab)$10,100/yr
Per employee, in time back
5.6 hours a week at the average U.S. wage of $37.75 an hour. For a 20-person team, about $203,000 a year. Our arithmetic on the figures above. It is time value, and it becomes money when those hours go to paying work.
Calculated: 5.6 × $37.75 × 48 weeks
Wage: U.S. Bureau of Labor Statistics, August 2026 (opens bls.gov in a new tab)Nothing here is magic, and it isn’t free. The businesses that get this return are the ones that changed how the work flows — not the ones that bought a licence and hoped.
Where most people are stuck
You have the data.
Nobody has told you what to do with it.
This is the sentence we hear most often, and it is almost always the same underneath: the data exists, but it is spread across a CRM, a handful of spreadsheets, an inbox and one person who remembers the rest. AI cannot fix that, and no dashboard papers over it. Someone has to go and look first — which is exactly where we start.
Find out what you actually have
Where it lives, which version is right, and what is clean enough to build on today.
Fix only what needs fixing
Some automations do not care about messy data. We tell you which of yours do, before you spend a dollar.
Answer the decisions you keep making blind
Reporting built around the calls you have to make, not a dashboard of everything you could measure.
How we work
Three phases. Nothing skipped.
-
1.
Find
Decide what’s actually worth building
We map the work, size the opportunities in hours and dollars, and tell you which ones pay back inside a year.
What’s inside Find -
2.
Build
Make it work inside the tools you already use
Connected to your CRM, calendar, inbox and phone line, and tested on your real cases before anyone relies on it.
What’s inside Build -
3.
Adopt
Get your team using it, not working around it
Role-based training, a use policy in plain English, and monthly tuning so it still earns in month six.
What’s inside Adopt
Fixed scope, fixed price
You approve the number before work starts. No hourly surprises.
Vendor-neutral
We integrate what you already pay for instead of reselling you a licence.
Tested before it goes live
Nothing touches a customer until it has been run on your real cases and you have signed off.
Your accounts, your data
Built in systems you own, and you keep the keys.
Buy online
Or start with something
you can use today.
Templates and workbooks drawn from the work we do for clients. Digital products download the moment you buy them.
Digital product
AI Integration Blueprint
The step-by-step plan for putting AI into a business that already has systems, staff and habits. Available now.
See it: AI Integration BlueprintDigital product
AI Playbook for Business & Founders
What is worth doing at your size, what it costs, and what to ignore.
See it: AI Playbook for Business & FoundersDigital product
AI Governance Implementation Plan
Guardrails, approvals and an AI use policy, aligned to the NIST AI Risk Management Framework.
See it: AI Governance Implementation PlanFAQs
You’ve got questions.
- Are we too small for this?
- No. The work is built for businesses of roughly 10 to 50 staff. If you answer your own phone and keep the schedule in your head, that is exactly what an AI agent takes over first.
- How is this different from buying an AI tool ourselves?
- A tool is a licence. What you buy here is the part that makes a tool stick: mapping the workflow, connecting it to systems you already pay for, testing it on your real cases, and training your team to run it.
- How fast can something be live?
- Every build takes a minimum of five to seven business days, counted from proposal approval. Every engagement gets a written timeline before you pay anything, so you are never guessing.
- We tried AI before and it failed. Why would this be different?
- Most failures are adoption failures, not model failures. That is why Adopt is a phase here and not an afterthought — training, a written use policy and monthly tuning are part of the work.
- Who actually does the work?
- Ammika AI Solutions is founder-led, with a vetted network of specialist partners brought in for specific builds. You always know who is on your project.