Findings go nowhere.
Reports list what's wrong; nobody owns turning each line into an action.
Introducing Resolve, our fast decision-making model. Meet Resolve →
Decide, route, draft, converse, act, connect and observe, with a person in charge and every action on the record.
A flag in a report changes nothing until someone raises the task, drafts the letter, updates the system and tells the right person. That last mile is where most findings stall.
Reports list what's wrong; nobody owns turning each line into an action.
Moving a finding from one system to the next is manual, slow and error-prone.
Tools that act on their own are exactly what regulated operations can't allow.
Moving information between systems is rules and connectors. Drafting uses a model. The decision that matters goes to a person, with everything they need on one screen.
Every new record, reading, signature and message.
Which events start a workflow, and which don't.
Tasks, letters and notes prepared with their sources.
Approve, edit or reject, with the evidence in front of them.
Done in your systems, and logged.
Workflow run 2217 · invoice query to Northline. Every step logged, every consequential step approved by a person.
10:41:21. Invoice INV-8841 held: line 4 above the contract rate.
10:41:25. Query drafted with four sources and routed to the AP clerk.
10:52:03. Approved by R. Singh, who edited the second paragraph.
10:52:04. Sent to the supplier; line short-paid; note added to the ERP.
Illustrative example. Workflow, people and times are fictional.
In high-stakes work, what a system won't do matters as much as what it will.
Consequential actions wait for a named person, with the evidence on one screen.
Invoice ErrorsAllowed and forbidden actions are yours, and enforced, not suggested.
Security & trustConnects to what you run instead of replacing it.
APIs & connectorsThe AI goes to where the work is, from hosted to air-gapped.
Start with a hosted service when speed of adoption and managed operations are priorities. Agree data handling, access and service requirements as part of the engagement.
Discuss hostedDeploy dedicated instances in your AWS, Azure, Google or Oracle account. Align the architecture with your cloud standards, operational responsibilities and integration requirements.
Discuss public cloudRun it inside your own private cloud or VPC, with network access, storage and controls set around your boundary.
Discuss private cloudRun software, storage and local inference on your own servers. Plan capacity, integration, maintenance and support around the environment your team operates.
Discuss on-premisePlace intelligence near industrial sites and operational equipment, where latency and connectivity shape the design. Match the workload to the local compute available.
Discuss edgeOperate local workflows without a continuous internet connection. Define how data is transferred, how updates are applied, and what must remain available offline.
Discuss offlinePlan for an installation with no external network connection. Local models, dependencies, data transfer and maintenance all become part of the deployment design.
Discuss air-gappedEach one is tested on your own work before you rely on it.
It sees, hears and reads the work as it happens.
Explore Sense →From piles of paper to records you can use.
Explore Understand →Every line compared. Only the gaps reach you.
Explore Check →Follow the evidence across systems. Find out what happened, and why.
Explore Investigate →Know what comes next, and plan for it.
Explore Anticipate →Start with the operational problem. We’ll work out the data, models and agents it needs, and where it should run.
Talk to us →