Enterprise operations · transformation
Turn one operating problem into a controlled test
We map the work across teams, systems, and approval points, then define the owner, baseline, prototype, and operating handoff.
Map the first workflowEnterprise AI delivery · governance · adoption
One operating problem. One controlled AI workflow.
In 30 days, Roverax scopes one workflow, sets the agent's boundaries, builds a working prototype, and measures the result. Your team then has evidence to decide whether a production pilot is worth funding.
- Working prototype
- Named decision owner
- Evidence for every action
01/01
The business problem
AI earns its place inside the operating workflow.
Operational AI must work a queue, call approved tools, stop at a decision boundary, request review, and leave a usable record. Roverax builds and tests that path against the customer's process.
Starting pointA repeated decision with a measurable baseline
→
Operating workOwners, queues, tools, rules, and exceptions
→
Tested workflowBoundaries, review, evidence, and operating handoff
What we build
Four ways Roverax can help.
Transformation and adoption
Choose the use case, map the process, set the baseline, and prepare the team that will own it.
Governed agent workflows
Build agents that gather evidence, use approved tools, and stop for review before high-impact actions. Every run leaves a decision record.
Program control and decision support
Connect cost, schedule, risk, and supplier signals to a baseline, forecast, owner, and corrective action.
Voice and customer operations
Let the agent complete work inside its boundary. When a person needs to take over, pass the context, intent, and next action with the call.
Who this is for
Bring one bottleneck. Leave with a defined test.
Risk · compliance · AI governance
Turn policy into controls people can run
Put NIST AI RMF and ISO/IEC 42001 concepts into the workflow as permissions, review points, evidence requirements, and incident handling.
See the control patternSystems integrator · platform partner
You keep the account. We run the prototype.
Roverax runs the sandbox build, control design, test plan, and adoption handoff within your customer engagement.
See the partner modelSelected work
Three prototypes and one practitioner playbook.
Each prototype uses synthetic or public data. The cards state what is running, what is measured, and where a person remains responsible. Metered demos stay behind controlled access.
Field Command Center
ProblemA carrier sees churn, fraud, and service signals in separate systems, while customer actions still require eligibility checks and human approval.
What it demonstratesA trained model scores churn. Rules limit the eligible actions, and an LLM ranks and explains them. A person approves the recommendation. The system seals the run in a hash-chained record.
Research prototype · controlled access
Schedule a walkthroughLife and annuity capital raise
ProblemA life and annuity carrier wants to raise capital from an institutional investor. It must choose a suitable policy cohort and assemble the evidence for diligence.
What it demonstratesAgents map the book and rank candidate cohorts. Each recommendation traces back to policy, actuarial, investment, finance, and reinsurance systems. Missing evidence is flagged for human review.
Research prototype · controlled access
Schedule a walkthroughFrontier Audio Lab
ProblemA voice agent can sound natural and still fail on latency, tool completion, cost, or handoff.
What it demonstratesTen controlled route-cases compare OpenAI Realtime and Gemini Live with the same audio and rules. Every run records latency, cost, blind-judge scores, failures, and budget enforcement.
Research prototype · controlled access
Schedule a walkthroughEVM program control playbook
ProblemCost and schedule reports show variance but often fail to connect it to the forecast and corrective action.
What it demonstratesThe practitioner playbook ties scope, schedule, and cost to one baseline. It then shows where AI can draft variance analysis and forecasts for human review.
Published playbook · controlled walkthrough
Schedule a walkthrough
Architecture
The agent prepares. Rules constrain. A person decides.
Across field operations, capital diligence, program control, and voice, the workflow follows the same sequence. Gather context, apply rules, prepare a recommendation, request approval, act, and record.
- 01Signal
- 02Context
- 03Agent
- 04Rule
- 05Recommendation
- 06Approval
- 07Action
- 08Record
Begin with reversible work. Keep high-impact actions with a named approver until the test evidence supports a wider boundary.
How we engage
Four steps from workflow to evidence.
The first test should be small, reversible, and measurable. High-impact actions stay with a named approver.
- 01 · Define the workflowChoose one repeated decision or task. Name its owner, current baseline, and target result.
- 02 · Set the agent boundaryList the tools the agent may use, the actions it cannot take, the review points, and the required record.
- 03 · Build the working pathUse representative data and only the systems needed to answer the business question.
- 04 · Test and hand offRun ordinary cases, edge cases, refusals, escalations, cost, latency, and evidence capture. Record the open risks and next operating steps.
SI and platform delivery
Work inside the customer relationship
Roverax can build the prototype, controls, test plan, and adoption handoff inside an SI or platform team's customer engagement. The account owner keeps the commercial relationship.
- Account owner remains primeThe SI or platform team leads the customer relationship.
- Roverax runs the prototypeScope, sandbox, controls, measurements, and decision records.
- Stack fits the customer environmentUse the customer's tools where they fit. Add only what the test requires.
- Handoff names who owns whatOwners, training, operating reviews, and open risks stay with the build.