01
Operational applications
Purpose-built tools for reporting, quoting, diagnostics, scheduling, field workflows, and customer operations.
← What we do
02BUILT BY US · OWNED BY YOU
Software shaped around how you work.
We build bespoke applications, agentic workflows, and AI systems that solve the problems off-the-shelf software leaves behind.
STARTING POINTA stubborn operating workflow
WHAT SHIPSProduction application
OWNERSHIPBuilt by us, owned by youBuilt by us, owned by you. Custom applications and client-specific intellectual property are yours.
02 · What it creates
Built around the operating outcome.
The deliverable is not a strategy artifact. It is a working capability your team can use, govern, and extend.
02
Governed AI systems
Knowledge assistants and agents with authentication, observability, evaluations, and the right human controls.
03
Automation that reaches production
Working software integrated into the systems and decisions where value is actually created.
03 · From workflow to software
The workflow becomes the product specification.
We begin with the decision, user, handoff, and guardrail—then build the smallest complete system that can survive real operating conditions.
OPERATING BRIEF01 / DEFINE
Start with the work—not a feature list.
USERWho does the work?Role, permissions, context
TRIGGERWhat starts it?Event, schedule, exception
DECISIONWhat must become easier?Evidence, options, next action
GUARDRAILWhat requires review?Policy, approval, escalation
OPERATING WORKFLOWLIVE
MONDAY · 08:30
EXCEPTION REVIEW
3 items need attention
Grounded in current operating data and policy.
Margin varianceEvidence assembled · owner assignedREVIEW
Service delayCustomer impact and options surfacedREADY
Quote exceptionApproval recorded · system updatedAPPROVED
01ObserveMap the real workflow
02DesignDefine controls and outcome
03ShipRelease into real conditions
04ImproveLearn from operating use
04 · Model-flexible by design
The application owns the workflow. You keep model choice.
We select models and hosting around the use case, data boundary, quality requirements, and economics. The application and evaluation layer stay portable as providers evolve.
OpenAI Model provider
Anthropic Model provider
Google Gemini Model provider
Azure OpenAI Enterprise deployment
Amazon Bedrock Managed model access
Enterprise surfaces remain flexible, too.Deploy into a purpose-built application or approved workspaces such as Microsoft Copilot, depending on where the work should happen.
05 · Ways to engage
Start where it makes sense.
The work can stand alone or connect to the other parts of Relic. We make the boundary and handoff explicit.
Design
Map the workflow, users, data, controls, and measurable operating outcome.
Ship
Build with founding engineers and release into real operating conditions.
Transfer or support
Hand over the application and codebase, or keep Relic involved for continued improvement.
Evidence
Relic has shipped production agent platforms, field diagnostics, strategy agents, operational reporting applications, and enterprise AI rollouts.
Explore our work