From AI you bought to AI you use.
We help you find, build and adopt AI that actually earns its keep.
1.Find
Decide what’s actually worth building
Before anything gets built, we get clear. We map how the work really happens — where the hours go, where things wait on one person, where the same thing gets typed twice. Then we narrow it to the few opportunities that pay back inside a year, and tell you plainly which ideas to leave alone.
What we do
Tap any service to see what is inside it.
A look at where AI will pay off in your business, and where it will not.
What you get
- A workshop with you and the people doing the work
- Your top five opportunities, scored by payback and effort
- A 90-day roadmap you keep, whether or not you build with us
See how the work actually flows today, not how the org chart says it does.
What you get
- A map of the real process, handoffs and waiting time included
- Where the hours go, in hours
- What to fix before automating anything
Put hours and dollars against each idea before anyone writes a line of code.
What you get
- A cost and payback estimate per opportunity
- The assumptions written down, so you can argue with them
- A clear recommendation on what to skip
Most businesses do not have an AI problem. They have a data problem, and no one has said it out loud.
What you get
- Where your data actually lives, including the spreadsheets nobody admits to
- What is clean enough to build on today, and what is not
- The shortest path from what you have to what AI needs
A prioritized, budget-aware plan for the next twelve months.
What you get
- Sequenced by payback and by what your team can absorb
- Budget ranges per phase
- Governance and training folded in, not bolted on
2.Build
Make it work inside the tools you already use
Nothing we build is a side system your team has to remember to open. It runs inside the CRM, the inbox, the phone line and the calendar you already pay for, and it is tested against your real cases — your messiest invoice, your most awkward caller — before a single customer touches it.
What we do
Tap any service to see what is inside it.
Removes the copy-paste between apps: intake to CRM, quote to invoice, form to follow-up.
What you get
- The handoffs that keep getting dropped, automated
- Built into the tools you already pay for
- Tested against your real cases before go-live
Connects AI to the tools you already use: your CRM, inbox, calendar and workspace.
What you get
- One source of truth instead of four half-updated ones
- Field mapping documented and handed over
- Error handling, so a failure is visible not silent
Pulls the data out of invoices, forms and contracts so nobody retypes it.
What you get
- Extraction tuned to your own document types
- Straight into the system that needs it
- A human check on anything the model is unsure about
The unglamorous work that decides whether anything else succeeds: duplicates, gaps, four spellings of the same customer.
What you get
- One record per customer, per product, per job
- The gaps filled or flagged, never quietly guessed
- Rules that keep it clean after we leave
Clean, connected data and reporting you can make decisions from.
What you get
- The numbers reconciled once, properly
- A dashboard built around your decisions, not the tool’s defaults
- A weekly report that lands in your inbox
Answers your phone around the clock, qualifies the caller, books the appointment and texts you a summary.
What you get
- Answers on your number, in a voice you approve
- Books straight into your calendar
- Hands off to a person on your rules, and tells you when it did
Answers questions on your site, captures the lead and books the call while they are still reading.
What you get
- Trained on your own pages, prices and policies
- Lead details into your CRM automatically
- Escalates to email or a call when it should
Texts every missed caller within seconds, so the job does not go to whoever picks up next.
What you get
- Instant reply while they still care
- Conversation continues by text
- Usually bundled with the AI Front Desk
Confirms, reminds and reschedules, so fewer people simply do not turn up.
What you get
- Reminder cadence set to your no-show pattern
- Reschedule without a phone call
- Syncs both ways with your calendar
Asks happy customers for a Google review at the moment they are happiest.
What you get
- Triggered by the job being finished, not a monthly blast
- Unhappy replies routed to you first
- Templates you approve before anything sends
Sorts the inbox and drafts the replies for you to approve.
What you get
- Sorted by what needs you and what does not
- Drafts in your own tone, never sent without approval
- Learns from the edits you make
Answers staff questions from your own SOPs, policies and files.
What you get
- Grounded in your documents, with the source shown
- Access controlled by who should see what
- Cuts the interruptions to the one person who knows
3.Adopt
Get your team using it, not working around it
This is the phase most AI projects skip, and it is why most AI projects quietly stop. We train the people who have to live with it, write the rules in plain English, and keep tuning it after launch — so what you bought in month one is still earning in month six.
What we do
Tap any service to see what is inside it.
Role-based sessions on the tools you approve, using your real work as the examples.
What you get
- Separate sessions for the people who use it differently
- Recorded, so new starters are not stuck
- A one-page cheat sheet per role
A use policy, guardrails and NIST AI RMF alignment, written for a business your size.
What you get
- A policy in plain English your team will actually follow
- What may and may not go into a model
- A review rhythm that does not need a committee
Monitoring, tuning and new automations every month, with a report you read in five minutes.
What you get
- Someone watching it in month six, not just week one
- Tuning as your business and the models change
- A small build included each month
The numbers that show whether it is working, reviewed with you every month.
What you get
- Agreed measures set before go-live
- Honest reporting, including what is not working
- A decision each month: keep, change or stop
Start here if you are stuck
Most AI problems are
data problems wearing a costume.
Companies know they should be doing something with their data. Almost none of them know where to start — and the honest reason is that the data is spread across a CRM, four spreadsheets, an inbox and one person’s memory. No model fixes that. Someone has to go and look.
“We have loads of data.”
Usually true, and usually in six places that disagree with each other. We find out which version is right before anything gets built on top of it.
“It is too messy to use.”
Some automations do not care. Others fall over. We tell you which of your ideas need clean data first, so you are not paying to tidy things nobody needed tidied.
“We do not know what to ask it.”
That is the real starting point. We work out which decisions you keep making blind, then build the reporting that answers those, not a dashboard of everything.
Data Readiness Review, Data Clean-up and Structuring, and Data Foundations and Dashboards are the three services that cover this. All three are on the list above.
How it is priced
Every service is quoted,
never guessed.
Tell us what the work looks like and we scope it properly. You get a written proposal with the exact fee, what is included and the dates — and it does not move once you approve it. If anything needs clarifying first, someone emails or calls you before putting a number in writing.
- Price band $
- $3,000 – $12,000, or $1,800 – $2,500 a month. One service, one channel, one connection.
- Price band $$
- $12,000 – $25,000, or $2,500 – $4,000 a month. A few services together, a few systems joined up.
- Price band $$$
- From $25,000, delivered in phases, or $4,000 – $5,500 a month. Multi-location or multi-department, custom logic.
Bands are ranges, not quotes. Every service is allotted a minimum of five to seven business days to build, test and hand over, counted from proposal approval. Digital products are the one exception — those deliver the moment you buy them.
Start with a conversation
Most businesses will keep
buying AI tools.
A few will make them work.