A
Prepare work for judgment
Use AI to assemble relevant evidence, compare information, and surface questions for a reviewer.
A starting point: a review brief with source references and missing information flagged.
A senior engineering practice
AI and software
built for real operations.
Stratum Relay builds and operates AI and software for business-critical workflows. We work with the people responsible to understand the bottleneck, build a focused intervention, and evaluate it against the work it needs to do.
Close to the work, accountable for the engineering.
Focused builds / Ongoing engineering
01 / What we do
Work stalls between
information and action.
A request arrives incomplete. A review depends on facts scattered across records. An approval leaves the next person guessing. We build software around these gaps so your team can move the work forward with a clearer basis for decisions.
B
Connect the whole workflow
Link intake, review, and follow-through across existing tools, with explicit checks and routes for exceptions.
A starting point: turn an incoming request into a tracked work item with an owner and next step.
C
Run and improve the system
Monitor performance, resolve issues, and refine the software as your team's needs change.
Keep useful systems useful as tools, inputs, and working practices evolve.
02 / How we work
Focused work that
builds on itself.
Focused domain work can make each new build better informed. We aim to pair that understanding with reusable engineering—not client data—so more effort goes into your workflow's difficult decisions and less into rebuilding the basics.
Understand the workflow
Map the decisions, handoffs, and constraints with the people responsible. Identify where an intervention could make a meaningful difference.
Build around the constraint
Choose the simplest useful approach, with AI where it earns its place. Develop against representative examples authorized for the work.
Evaluate before relying on it
Compare results with the current process. Examine failures and decide together whether to deploy, revise, or stop.
Improve through operation
Use issues and feedback from daily work to guide corrections and updates. Keep a fallback for cases the system cannot handle.
03 / Evaluation
Test it against
the work it must do.
We choose representative cases with your team, examine the results, and make the limits part of the deployment decision. A polished demo is a starting point, not evidence of everyday usefulness.
The basis for a decision
A meaningful comparison
Agree on what to assess against the current process: review time, rework, quality, or the clarity of a handoff.
Visible failure modes
Check source evidence and difficult cases. Record errors, exceptions, and the situations that require human review.
A responsible owner
Name who accepts the results, who can intervene, and what would trigger a change, pause, or return to the prior process.
Responsible people retain final business and professional decisions. The software supports their judgment.
Working together
Before we work together.
What to expect from the first conversation onward.
Do we need an AI strategy first?
No. Bring an important workflow and a reason to improve it. We can help determine where AI is useful and where conventional software is the better fit.
What does a first project look like?
One workflow. We scope it, build the smallest useful intervention or recommend not building, and evaluate it on representative cases before deciding what comes next. Timing depends on the workflow and access, and is set in the proposal.
How are scope and cost agreed?
We provide a proposal covering deliverables, cost, dependencies, exclusions, and evaluation criteria before work begins. Implementation and ongoing operations or support are distinct commercial scopes; neither is left implicit.
What should we bring to the first conversation?
A non-confidential outline of the workflow, where it breaks down, and who owns the outcome. You do not need a technical specification. Keep credentials, client records, and confidential documents out of the booking form and email.
Can you work with sensitive or regulated data?
Only after the necessary permissions and any required contractual, insurance, or certification arrangements are established. Before such work starts, we agree on permitted data use, access, and review responsibilities.
Start with one workflow
Where is the work getting stuck?
Tell us what is slowing the work down and what a better outcome would look like. We will discuss fit and the questions a useful first scope needs to answer.