Invoice matching
An agent reads incoming invoices, matches them to purchase orders and receipts, and sends only the exceptions to your AP team.
- We track
- Cost per invoice
We work with operators who know their business inside out and want a straight answer on AI. We find the work worth automating, build the system that does it, and report the return in dollars your finance team will sign off on.
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Saved per year
$114,048A rough estimate based on 48 working weeks. We test every assumption with you on the first call.
Check these numbers with usMost AI projects stall because nobody tied them to a number. We start with the number. Every engagement gets a fixed scope, a fixed price, and a target we agree on with you before anyone writes code.
You know the cost and the deliverable before we start. No open ended hourly billing.
The people on your first call are the people doing the work. Nobody learns on your budget.
We set a baseline before we build and report against it after launch. If it isn't moving, you hear it from us first.
Code, prompts, pipelines, and documentation are handed over. Your team can run it without us.
Most first projects look like one of these. Each one has a number we measure before we build and again after launch.
An agent reads incoming invoices, matches them to purchase orders and receipts, and sends only the exceptions to your AP team.
Every ticket is read, tagged, prioritized, and routed in seconds. Routine questions arrive with a drafted reply for your team to approve.
Pulls the right notes, pricing, and past wins from your CRM into a first draft, so your team starts from something good.
Flags missing clauses, unusual terms, and renewal dates across your contract library, with the source text linked for every flag.
Numbers pulled from your systems, explained in plain English, and in your inbox before the Monday meeting.
Ask a question in plain words and get an answer from your own documents, with the source attached so you can check it.
Pick the one that fits where you are today. Most clients start with strategy and move into a build.
Decide where AI goes first.
We sit with your leadership and your engineers and work out where AI can carry real weight in the business. You leave with a short, ranked roadmap, a first project with a dollar target attached, and a plan for the first 90 days that your board can follow.
One workflow, built properly.
We take a single high value workflow and build the agent or system that runs it, wired into the tools and data you already use. It gets tested against your real cases before it touches production.
Get the whole company using it well.
We roll out ChatGPT Enterprise, Claude, Microsoft Copilot, or Gemini across your teams with the right permissions, data connections, and shared templates, so people are set up for the jobs they actually do.
Teach your people to build with it.
Hands on sessions built around your team's own work. Executives learn what to fund and what to ignore. Operators learn to automate their week. Engineers learn to ship agents that hold up in production.
Make what your company knows easy to find.
We connect documents, tickets, wikis, and databases into one knowledge layer that your people and your agents can query. Answers come back with their sources attached, and access rules carry over from your systems.
Short phases, working software every week, and a result you can check against the baseline we set together.
Start with a callWe map the work, size each opportunity in hours and dollars, and agree with you on the one target worth hitting first.
A senior team builds against your real data and systems. You see working software every week and can change direction early.
We measure against the baseline from day one and put the result in a short report your finance team can check line by line.
Once the first win is proven, we extend it to the next workflow, or hand the whole thing to your team with documentation and training.
Every engagement has a fixed scope and is priced on outcomes. No open ended retainers and no junior staff padding the bill.
An audit and roadmap for where AI should go first.
One workflow or agent, built from start to finish.
Everything in Implementation, with a Head of AI on your team.
Not sure which fits? Tell us what you're working on and we'll say which one makes sense, even if the answer is none of them yet.
Yes. The strategy sprint includes a data readiness review, and plenty of good first projects run on data you already have in email, documents, and your core systems.
Fixed scope and fixed price, agreed in writing before work starts. If the scope changes, we price the change and you approve it before we do it.
Whatever fits the job and your security requirements. We work across AWS, Azure, Google Cloud, Databricks, OpenAI, and Anthropic, and we recommend based on cost and accuracy on your own tasks.
You do. Code, prompts, configuration, and documentation are handed over at the end of the engagement.
We watch the system against its targets for an agreed period. After that, your team runs it, or we stay on through Forward Deployment.
No. We're based in Tampa and work remotely with clients anywhere in the US, with on site visits when a project needs them.
A few lines about the work you'd like off your plate is plenty. Jerome reads every message and replies himself.
You'll speak with Jerome on the first call, and he stays on your project until the result shows up in your numbers.