Enterprise AI for Everyone
ARDInsights builds the pipelines that collect and file the documents and data you rely on, and the agents that draft research updates and client communications for your team to approve. Everything runs inside your own systems.
Find the work that looks like yours
Pick the problem that sounds most like your team.
Documents and data arrive in too many places
They come in by email and through partner portals, and someone checks each source by hand. We build pipelines that file everything into a single repository, with permissions and version history, and flag what's overdue.
Every review starts by digging out old notes
The analyst also has to work out what changed since the last one. A research agent pulls both together and drafts the update for the analyst to correct.
Client communications get rebuilt by hand
Routine requests wait in a shared inbox, and someone has to check that the approved wording hasn't changed. Our drafting agents keep the approved wording locked and drop in only the live data. A named person sends each draft.
AI ideas stall in review
Teams bring you AI ideas, and you can't sign off until you can see who approved each output and how to reconstruct it. Every ARDInsights build logs each output with the reviewer's decision. Bought on its own, the full assessment scores each AI idea and tells you which ones are ready to deploy.
About a week first, then phase by phase
Assess
An environment assessment confirms platform, data access, scope, acceptance criteria and timeline before you commit to a build fee.
You decide: go ahead, or stop here.
Build in phases
Data and documents first, then the agents that read from them. Each phase has defined deliverables and written acceptance criteria.
You authorize each phase on its own.
Operate
A warranty applies after acceptance. Monthly support covers monitoring and repairs.
Support is your choice, month to month.
Every agent answers to a named person
If your risk or IT reviewers have questions, start with these 4. The answers hold on every engagement.
All 12 rules, in a section you can forward to your reviewers
Led by an operator
The 20 years before ARDInsights were spent building. Tony built default-probability models and credit risk infrastructure at Fidelity, and LLM systems and agents that flagged high-risk communications in real time at Commsafe AI. Most recently he led data engineering and advanced analytics for a 1,200-person national nonprofit and cut time-to-reporting from hours to under 30 minutes.
Tony leads every engagement and is in every working session. ARDInsights engineers build alongside him. More about Tony and the team
The Verifiability Gradient
Why human oversight breaks when AI output stops being checkable. A framework for risk and compliance leaders.
AVAILABLE SOON More on the Insights pageBring one problem to the intro call.
The piece of work that eats the most hours, or the AI idea stuck in review. The call is free and takes 30 minutes.
Book a free intro call