Our team has spent years building AI systems for software, manufacturing, logistics, trucking and customer operations. These are some of the problems we've solved, and the experience that shapes the AI Assistant Suite and every solution we deliver.
Truckers spent hours scanning load boards and on the phone negotiating rates, often settling for whatever came up first.
AI agents that search available loads, match them to the driver's route and preferences, and negotiate the rate on the driver's behalf.
Less time spent finding and haggling over loads, and more time driving the ones worth taking.
A large share of incoming contacts were the same handful of questions, answered again by hand, while genuinely difficult cases waited.
An assistant grounded in the company's own help content that resolves customer issues in real time, in the customer's own language, and hands off to a person with the conversation attached.
The team's attention moved to the cases that needed judgement — and this became the foundation of our AI Assistant Suite.
Every software release had to pass a compliance review. Changes were described inconsistently, and the review was manual, late and dependent on who picked it up.
A system that groups every change going into a release, writes a clear description of each, and evaluates it against the compliance rules before sign-off.
Compliance issues surfaced before release instead of after, and every release was assessed the same way.
Test results were noted on paper at the bench and typed into a system later. Details went missing in the gap, and reports arrived incomplete.
A voice agent engineers talk to while working. It asks the follow-up questions the report format requires, writes a structured record, and feeds a dashboard of test reports and visualisations.
Reporting happened at the moment of the test, and teams got a live view of results and trends instead of waiting for end-of-day paperwork.
Incorrect shipments were logged and credited case by case. Nobody had time to work out why the same mistakes kept happening.
Analysis that reconstructs each case across order, pick, label and handover data, then turns it into reports and insights on recurring causes.
The conversation moved from individual credits to fixing recurring causes, with clear reports and evidence behind each one.
The answer to a routine question was buried in manuals and specifications. Finding it meant knowing which document to open, or asking the one person who did.
Retrieval over the document set that answers in plain language and always shows the passage and document it came from, so it can be verified.
Fewer interruptions for the experts, and people stopped working from a half-remembered version of the spec.
A 30-minute call is usually enough to tell whether the answer is our assistant suite, an automation, or something built for you.