Professional services
Accounting, law, insurance, and real estate
Document-heavy work where intake, drafting, follow-up, and internal search can consume staff time.
On site in Ventura County
Find the office work AI can actually improve.
For local businesses with 5–75 employees. We examine one real workflow, put the ROI math in writing, and train your team to run what gets built.
The call is a quick fit check by video. If there is a real workflow to examine, the next step is a free 30-minute walk-through at your location.
In personAcross Ventura County
Vendor-neutralNo software commissions
Assessment firstRequired before any build
Training includedYour team runs the result
Who we help
Small teams with real operational work.
The best starting point is not “we need AI.” It is a recurring task with a clear owner, enough volume to matter, and a result a person can check.
Construction and trades
Contractors and home-service teams
Quoting, scheduling, job notes, customer updates, and handoffs between the field and office.
Practices
Medical, dental, and veterinary offices
Administrative workflows only after the data, approvals, and risks are mapped in plain English.
Useful starting points
Examples, not promises.
These are common workflows to investigate. An assessment determines whether they fit your systems, volume, review requirements, and budget.
Turn messy requests into a first draft
Pull the relevant details from an email or form, match them to an approved template, and hand a draft to a person for review.
Possible use: estimates, intake summaries, routine correspondence.
Find the few records that need action
Ask a plain-English question across approved business data and return a focused list with links back to the source.
Possible use: overdue invoices, open jobs, missing documents.
Close the loop after work is done
Prepare follow-ups, update the right record, and surface exceptions instead of relying on someone to remember every step.
Possible use: customer updates, CRM hygiene, review requests.
The $1,000,000 question
Did an LLM solve a Millennium Prize Problem?
No.
That headline would be historic. It would also be false. The Clay Mathematics Institute still lists only the Poincaré Conjecture as solved. Grigori Perelman did that work; an LLM did not. Six Millennium problems remain open.
The real revelation is still hard to absorb: AI systems now produce gold-medal mathematics, improve the best known answers to open problems, and alter the working frontier of biology, materials, weather, and code.
Source: Clay Mathematics Institute ↗The evidence ledger
What AI has actually done.
A short list of results that were officially graded, experimentally checked, published, deployed, or made available for scrutiny.
35 / 42
Gold-medal mathematics in natural language
Gemini Deep Think solved five of six 2025 International Mathematical Olympiad problems within the contest time limit. IMO coordinators graded the proofs at gold-medal standard.
Google DeepMind · 2025 ↗20%
Better answers to open mathematics
AlphaEvolve, an LLM-powered agent with automated evaluators, tested more than 50 open problems. It improved the previously best known solutions in about one fifth of them.
Google DeepMind · 2025 ↗200M+
A protein universe made searchable
AlphaFold predicted structures for more than 200 million proteins—nearly every catalogued protein known to science—and released the database for researchers to use.
Google DeepMind / EMBL-EBI ↗2.2M
New crystal structures predicted
GNoME predicted 2.2 million new crystal structures. Of those, 380,000 were identified as the most stable candidates for experimental synthesis.
Google DeepMind · Nature · 2023 ↗< 60 sec
A ten-day global weather forecast
GraphCast generated a ten-day forecast in under a minute and outperformed the leading deterministic system on 89.3% of the variables and lead times evaluated.
Google DeepMind · Science · 2023 ↗Up to 70%
Faster code, already in the library
AlphaDev found faster sorting algorithms for short sequences. The work entered the LLVM standard C++ library, putting AI-discovered code into everyday infrastructure.
Google DeepMind · Nature · 2023 ↗The standard matters: a striking claim should come with a grader, a verifier, an experiment, a deployment, or a source you can inspect. That is the same discipline we bring to a business workflow.
The route
Understand first. Build second.
A build is never the first sale. Each step should earn the next one.
01 · 15 MINUTES
Fit call
A short video call to identify the workflow, decision maker, team size, and whether an on-site visit makes sense.
02 · 30 MINUTES
Walk-through
Free, at your location. Show the last real example, the tools involved, and who checks the result.
03 · 1–2 WEEKS
AI Assessment
Paid and required. You receive 3–5 ranked opportunities, assumptions, risks, costs, and ROI math in writing.
04 · OPTIONAL
Build and train
Choose a fixed-scope build only if the assessment supports it. Training and written playbooks are included.
Fixed prices
Know the decision before the meeting.
The assessment roadmap is yours. Use it with us, your IT provider, or your own team.
Required first
AI Assessment
$2,500
- Up to 15 staff
- $4,500 for 16–75 staff
- 1–2 weeks on site
- 3–5 opportunities with ROI math
Half the fee credits toward a build started within 60 days.
One workflow
Starter Build
$9,500
- One workflow
- Three weeks
- Training and playbooks included
Proposed only after the assessment.
Larger scope
Core / Full Build
$19,500 / $38,000
- Core: 2–3 workflows, six weeks
- Full: department-level, eight or more weeks
- Training and playbooks included
Fixed scope and price in the proposal.
Optional ongoing support: Anacapa $1,500/month · Santa Rosa $3,000/month · Santa Cruz $5,000/month. Retainers follow a build; they are never required.
Who shows up
Grant Mickelsen
Channel Islands AI is founder-led and based in Ventura County. The person on the fit call is the person who walks through your workflow, builds the work, and trains your team.
No software is resold and no vendor commissions are accepted. If a checklist, a feature you already pay for, or no AI at all is the better answer, the assessment should say so.
The goal: teach ourselves out of a job.
Common questions
What to expect.
Why is the assessment required?
It prevents a tool from being layered onto a process nobody has measured. We establish the current workflow, volume, review time, exceptions, data limits, and commercial case before proposing a build.
What do we receive from the assessment?
A written roadmap of 3–5 opportunities ranked by expected value, feasibility, data risk, and owner readiness. Each includes the assumptions, likely costs, and review required. The roadmap is useful even if you do not hire us to build it.
What if AI is not worth it for us?
Then we stop. Low volume, missing ownership, inaccessible systems, or a simpler process fix can make a build the wrong choice.
Will our staff still check the work?
Yes. The assessment identifies where human judgment and approval remain necessary. The goal is recovered capacity and better follow-through, not unattended decisions with real consequences.
How is sensitive data handled?
Before recommending a tool, we map what data it would receive, where it would go, who could access it, and which approvals are required. Sensitive information is not put into an unapproved tool for a demonstration.
Where do you work?
On site across Ventura County, including Ventura, Oxnard, Camarillo, Thousand Oaks, and Simi Valley. The first fit call is by video.
Start small
Bring one workflow.
You do not need a technology plan. Be ready to describe the last time the task happened.
- What starts the task?
- Who handles and checks it?
- How often does it happen?
- What happens when something is wrong?
Book a 15-minute fit callOpen an email to Grant
The email button opens a draft in your email app. You choose whether to send it. Replies go to Grant Mickelsen at mickelsengrant@gmail.com.