AI assistants
Give staff an assistant that answers questions from approved internal policies, procedures and knowledge, instead of searching shared drives.
Fortify helps executives decide where AI will make a real difference, prove it quickly, and then change the processes, systems and working habits needed to run it at scale.
Many organizations have tried AI in a demo, a team experiment or a small trial. Far fewer have changed the way a core process actually runs.
The gap is rarely the model. It is an unclear business case, a process that was never redesigned, systems that do not connect, and people who were not prepared for a different way of working. Closing that gap is a transformation challenge, not a software purchase.
Our focus is not AI for AI's sake. We focus on practical transformation that improves productivity, customer experience, decision-making and operational performance.
Each stage has a clear question to answer and a decision at the end. You can stop, adjust or proceed with evidence in hand.
Where will AI change how the business performs? We look at your processes first and the technology second.
Does it work, and is it worth doing? We test the idea against a real use case before committing to a full build.
How does it become part of daily operations? We take a successful pilot through to a supported, integrated service.
Agents are where AI moves from answering questions to completing work. We design them around a defined process, with clear limits on what they can do and where a person stays in the loop.
Design, build and govern agents and automation for the work that consumes your teams' time.
Give staff an assistant that answers questions from approved internal policies, procedures and knowledge, instead of searching shared drives.
Have an agent gather information from several systems, prepare a recommendation and route it to the right approver for a decision.
Remove manual re-keying and hand-offs between systems, with exceptions passed to people rather than silently dropped.
Multi-agent designs, where specialist agents coordinate on a larger process, are used only where a single agent would not be reliable enough.
Before you commit to a build, explore working AI agents and intelligent workflows, or have us prototype a scenario drawn from your own business process.
Prototyping and demonstrations let executives and operational teams react to something real, which makes the case for production far easier to judge.
Begin with a structured assessment or bring your leadership team together for a working session.
Talk to a transformation advisor, or bring your leadership team together for an executive workshop.