We ship the AI your
competitors are still writing decks about.
AI integration for mid-market companies. Opportunity assessments, custom LLM integrations, workflow automation, and AI-ready data pipelines — handled end-to-end, not just recommended.
Everyone's piloting AI. Almost nobody is shipping it.
Your competitors are running the same ChatGPT trials you are. They're reading the same blog posts, attending the same webinars, and filing the same internal decks. Almost none of it turns into anything customers notice.
That's not because the technology isn't ready. It's because shipping AI into an existing business is an integration problem, not a research problem — and most teams don't have the combination of engineering, data, and domain judgment to push a real integration over the finish line.
That's the gap we close. We're the team that builds the integration and puts it in front of real users, while everyone else is still drafting the proposal.
What we'd actually look at
Free, concrete, and time-boxed. No decks, no discovery-call theater. You leave the call with a ship plan, not homework.
Your data layer — what's AI-ready and what isn't
We map where your data lives, how it flows, and which pieces are trivially accessible versus locked in heads, PDFs, or legacy systems. This tells us the real cost of every integration idea before we price anything.
The three highest-leverage automation candidates in your workflows
We look for the repetitive work eating the most hours per week, rank the candidates by ROI, and tell you which one is the obvious first project — and which ones aren't worth touching yet.
A build-vs-buy matrix for your LLM integration points
For each opportunity, we call out whether it's a thin custom integration, a fine-tuned workflow, or a spot where an off-the-shelf tool beats anything we'd build. We don't fabricate work to fit the invoice.
A concrete 30/60/90 ship plan with real milestones
You leave the call with the smallest possible first deploy, the dependencies it needs, and what weeks 4, 8, and 12 look like — not a 40-page deck with no deliverables.
What changes after we ship
The integrations we build don't win awards. They just quietly erase hours of repetitive work every week.
Sales team triages every inbound lead by hand
Weekly reports take six hours to compile from five tools
Customer support tickets sit in a queue for hours
Auto-triaged, scored, and routed in under a second
Dashboards update live, draft reports write themselves
Auto-categorized with a pre-drafted response ready for human review
Sales team triages every inbound lead by hand
Auto-triaged, scored, and routed in under a second
Weekly reports take six hours to compile from five tools
Dashboards update live, draft reports write themselves
Customer support tickets sit in a queue for hours
Auto-categorized with a pre-drafted response ready for human review
What would this save you?
Honest math. Slide the inputs to match your team and see the rough annual savings for an AI integration on a single repetitive task.
Per year
$18,360
Per month
$1,656
Hours / week saved
8.5 hr
Assumes a 85% automation rate for data entry & document intake, including human-in-the-loop review on exceptions. Based on 48 working weeks per year.
Want this in writing?
Drop your email and we'll send a tailored version of this calculation for your business, plus the three integrations most likely to hit those numbers.
Are you actually ready to ship?
Seven questions, two minutes, an honest answer. No email required to see your score — only if you want the written breakdown.
01.How easy is it for your team to pull a list of recent customer interactions into one place?
02.Is there a task your team repeats every week that eats several hours?
03.When you need a number to make a call — staffing, pricing, inventory — how fast can you get it?
04.Have you tried an AI tool for work and hit a wall?
05.Could your team commit a real budget this quarter if the ROI was clear inside 6 months?
06.Is there one person on your team who could own an AI integration project start-to-finish?
07.Do your customers complain about slow responses, inconsistent service, or things falling through the cracks?
Questions we get on every first call
Most engagements ship a working integration in 4 to 8 weeks from first scope. The variance is almost always data readiness — not model selection or engineering effort. We'll tell you on the first call whether you're on the fast end or the slow end.
Run the audit on your own business
Not ready for a call? Grab the free audit PDF, walk your team through it, and come back when you're ready.
The AI Integration Audit
A 28-question self-assessment we actually use on our first calls. Covers data readiness, process clarity, team capacity, and risk. Share it with your team and compare answers.