You know your business. We know how to put AI to work inside it. A Transformation Lead and a Forward Deployed Engineer, backed by AI agents, work alongside your people to find where AI has the most impact, build the solution, and keep it working as the technology changes.
Nothing moves forward on a feeling. Each step ends when the evidence is on the table.
A short weekly meeting with your team: the numbers, the priorities, the problems to solve.
We write the baseline down on day one, so the value is a number, not an opinion.
One person who wants this process to work better.
Two people and AI agents on every engagement, working inside your company as one team.
Our software for running the engagement. You see the same view we do.
Why now, and how the work really runs.
Led by Transformation Lead, with the FDEIt starts with a briefing: what triggered this, what exists, what has to change. Then we sit with the people doing the work: who decides, where the hours go, which systems and data they touch.
The process worth doing first.
Led by Transformation LeadWe score every process on value (hours and money), feasibility (data, systems, risk) and readiness (do the people want it). You get an opportunity map with numbers attached.
Agree what success is, before any code.
Both, together with your process ownerWe write down the economic case, how we will judge the result, what the system must never do, and where a person stays in control.
Inside your environment, inside the tools you already use.
Led by Forward Deployed EngineerThe Forward Deployed Engineer builds the smallest system that delivers the agreed value. We test it on your real cases, not demo data. You see progress every week.
Your team uses it, and can run it without us.
BothWe train the team, sit with them while they use it, and fix what gets in their way. Code, settings, test records and procedures move into your systems, planned from the first week.
Measure, keep it current, choose the next process.
BothWe measure the result against the baseline from step 1. When new AI models come out, we re-run the tests and update the system. Then we pick the next process from the map.
Deploying software meant installing a known tool and stepping back. Deploying AI means delivering work inside a process. It has to be connected, controlled, tested and kept current.
Finding the data the work needs, cleaning it up, and getting access with the right permissions.
Connecting AI to the systems your people already use, including older ones and spreadsheets.
Redesigning how the work flows once part of it is done by AI. Usually the biggest change.
Deciding where a person reviews, approves or signs. Written down before we build.
A set of your real cases with known right answers. The only honest way to know it works.
AI models change every few months. We re-test and update, so the system gets better instead of drifting.
We run the program on a simple weekly rhythm, borrowed from the operating system thousands of mid-sized companies already use. Same day, same agenda, starts and ends on time.
After each meeting you get a one-page report: where each initiative stands, what blocks it, the numbers, and the questions we still need answered.
AI reads each quote request, fills the order, shows past rates on the lane and drafts the reply. The forwarder sets the price and sends.
The first group of forwarders uses it every day. The second group starts training next week.
The first step is a 45-minute briefing with your leadership. We confirm whether AI can make a real difference and what should happen first. If we are not the right answer, we will say so.
Book a briefing →