SUPPORT AGENT
Answers the repeated 60% from your own documentation, escalates the rest with the context already gathered, and never invents a policy it cannot cite.
PLUGS INTO · HELPDESK · DOCS · CHAT
AI INTEGRATION
CUSTOM AGENTS
B2B
PUT AI WHERE
THE WORK
ACTUALLY IS.
Most AI projects end as a demo nobody uses. We start from a process that already costs you hours, take one step of it end to end, and put an agent in that step — wired into the systems your team already opens every morning.
// THE CHANGE
A PROCESS, REWIRED
Scroll — the manual chain rebuilds itself around an agent.
TIME TO REPLY
≈ 2 DAYS
SCHEMATIC — the shape of the change, not a client benchmark
// WHAT WE DO
FOUR STEPS,
NOT A PLATFORM
We are not selling you a subscription to a dashboard. Each step below ends in something you own and can hand to another team.
01
PROCESS AUDIT
Two weeks inside one workflow. We count where the hours actually go, and we say out loud which steps should stay human — that list is usually longer than the sales deck of any AI vendor.
02
AGENT BUILD
One narrow agent that does one job well: read the input, decide, act in your systems, log why. Built against your real data, evaluated on your real cases before anyone trusts it.
03
INTEGRATION
It plugs into the CRM, ERP, mailbox, storage and messenger you already run. No migration, no new place for your team to check every morning.
04
OPERATION
Evaluations that run on every change, cost ceilings, alerting when quality drifts, and a monthly pass to widen what the agent handles once it has earned it.
// AGENTS WE BUILD
THE ONES THAT
PAY FOR THEMSELVES
Every one of these is a narrow job with a measurable before and after. We start with whichever one is costing you the most this quarter.
LEAD QUALIFIER
Reads every inbound request, enriches it, scores it against how your good deals actually looked, and puts a ready card in front of the right salesperson.
PLUGS INTO · CRM · MAIL · FORMS
DOCUMENT AGENT
Pulls figures out of invoices, contracts and acts, checks them against the record, and flags only the mismatches for a human to look at.
PLUGS INTO · STORAGE · ERP · ACCOUNTING
REPORTING AGENT
Assembles the weekly numbers from every system they live in, writes the summary a human would have written, and says what changed and why.
PLUGS INTO · DB · ANALYTICS · SHEETS
INTEGRATION AGENT
Sits between systems that were never meant to talk, translating and reconciling — the job currently done by somebody copying between two tabs.
PLUGS INTO · APIS · WEBHOOKS · QUEUES
KNOWLEDGE AGENT
Answers staff questions from your own regulations, contracts and history, with the source attached — so the answer can be checked, not just believed.
PLUGS INTO · WIKI · DRIVE · MAIL
// HOW WE KEEP IT BORING
THE PART VENDORS
SKIP
An agent that is right 95% of the time is useless if nobody can tell which 5% went wrong. Every build ships with all four of these, not as an upsell.
CONFIDENCE THRESHOLDS
Below a set confidence the agent does not guess — it hands over, with everything it already worked out attached.
HUMAN IN THE LOOP
Anything above a value limit you set stops for approval. Money decisions stay with people by default, not by exception.
FULL AUDIT TRAIL
Every action logged with the input, the reasoning and the result. When someone asks "why did it do that", there is an answer.
COST CEILING & ROLLBACK
A hard monthly spend limit, and one switch that returns the process to how it worked before. Nobody signs up for an unbounded bill.
// STACK
WHAT WE BUILD
THIS WITH
Model-agnostic on purpose. The one that is best for your step this year will not be the best one next year, and swapping it should be a config change, not a rewrite.
CLAUDEGPTGEMINI
LOCAL MODELSMCPRAG
EVALSTYPESCRIPTPYTHON
CLOUDFLARE WORKERSSUPABASEPOSTGRES
PGVECTORN8NMAKE
APPLE SILICON
On-premise is not a slide for us. We build and operate MacYou — a self-service AI deployment platform on dedicated Apple silicon. If your data cannot leave the building, we have already solved that problem for ourselves.
PROOF · MACYOU.PRO · LIVE
CLIENT DEPLOYMENTS · WALKTHROUGH ON REQUEST
// STRAIGHT ANSWERS
WHAT YOU ARE
ABOUT TO ASK
Do we have to replace our CRM?
No. Agents work through the APIs of the systems you already run. If a system has no API we drive it the way your team does, or we move that one step and leave the rest alone.
How long does a first agent take?
Two to four weeks from audit to something running on real traffic, for one narrow process. Broad programmes that automate everything at once are how these projects die.
What happens when the model is wrong?
Every agent ships with a confidence threshold, a human review path for anything above a value limit, full logs of what it did and why, and a rollback switch. Being wrong is a design input, not a surprise.
Where does our data go?
Wherever you decide. Hosted model APIs with zero-retention terms, your own cloud, or fully local inference on hardware you control — we build and run an Apple-silicon deployment platform, so on-premise is a real option rather than a slide.
How is this priced?
A fixed price for the audit, a fixed price per agent for the build, and a monthly figure for operation that includes model spend with a ceiling. No open-ended hourly billing.
// NEXT
WHICH PROCESS
IS COSTING YOU
THE MOST?
Tell us the one that everybody complains about. We will tell you honestly whether an agent belongs there — and if it does not, we will say so.