We build, deploy and manage AI agents trained on your industry and your workflows. Every output passes a senior practitioner before it reaches anyone who matters.
Generative tools now produce models, memos and decks that look polished and authoritative. They also ship with errors no spell-check will catch: a compounding formula mistake, a fabricated benchmark, the wrong market’s data, an assumption that quietly breaks at scale.
That is why most businesses are stuck. The productivity is obviously real, but nobody senior is willing to stake a board pack, a loan application or a client deliverable on unverified output.
IBG closes that gap. We build the agent, we run it inside your business, and a senior practitioner checks its work before it leaves. You get the speed and the capacity without carrying the risk.
Sources: Resume.org, 1,146 managers, 2026 · Databox, 2026 · Workiva executive benchmark, 2026. The fourth figure is our own standard, not a survey result.
Three composites of the failures we get called in to fix. Details are changed and no client is identified. The pattern is the point: the work looked right, and the room thought otherwise.
AI-generated financials looked clean. The underwriter found three internal inconsistencies and the facility went on hold for six weeks. A single review before submission catches all three.
AI-built projections looked right. The investor’s analyst found structural errors in the model logic. The round did not close, and nobody said why on the call.
A deliverable built with AI under deadline. The managing director found two factual errors live, in front of the client. The relationship survived. The next review cycle reflected it.
Each agent is built around a specific function in your business, trained on your language, your rules and your standard of good.
Runs top-of-funnel: qualifying, sequencing, following up and briefing your team. Customer-facing output checked before it sends.
Pulls the numbers, reconciles them and drafts the management report. A practitioner signs it before it reaches the board.
Verifies claims, traces sources and checks benchmarks against the right market rather than the nearest one.
Scheduling, chasing, updating systems and closing the loops that currently sit in someone’s inbox.
First-line response drafted in your voice, with anything sensitive escalated to a person by design.
Most engagements start with a workload you already know is eating senior time. We build to that.
Every output an IBG agent produces passes through a vetted expert before it ships. Logic traced. Assumptions challenged. Sources verified. Then it is signed.
The mark uses a scannable code block rather than a tick, because each credential is tied to a specific review rather than being decoration. It travels with the document: on the cover of a model, the footer of a report, the corner of a board pack.
The agents create capacity. This is how your people grow into the space it opens up.
How to brief, constrain and review an agent. The core skill of working alongside AI rather than being replaced by it.
Where human decision-making still has to sit, and how to recognise those moments reliably.
What your team may and may not put into a model, and the standard every AI-assisted output has to meet before release.
We identify the workload worth handing over and what good output looks like in your business.
We learn your industry, your workflows and your rules, in enough depth that the agent sounds like you.
A custom agent trained on your business, deployed into your stack with guardrails and clear scope.
A senior practitioner reviews the agent’s work before it leaves. That is Vera checked™.
We monitor, tune and extend the agent continuously. You are not left running it yourself.
Bring us the workload that is eating your senior time. We will tell you honestly whether an agent is the right answer, and what it would take.