AI SYSTEMS ENGINEERING

Intelligence,
engineered
to work.

Reliable AI assistants. Connected workflows. Backend systems built for the real world.

We turn complex operational problems into dependable software—where AI, data, and your existing systems work together.

Grounded in evidence. Designed for accountability.
FROM FIRST PRINCIPLES TO WORKING SYSTEMSEXPLORE OUR CAPABILITIES
AI ASSISTANTS+BACKEND DEVELOPMENT+WORKFLOW AUTOMATION+ENTERPRISE INTEGRATIONS

01 /WHAT WE BUILD

Complexity is your reality.
Engineering is our response.

From a single API to an integrated AI system, we build the parts that make your operations work better.

01 /

AI assistants & agents

Purpose-built assistants that work with your knowledge, respect your permissions, and know when to ask a human.

Knowledge retrievalTool orchestrationEvaluation
Explore the possibilities
02 /

Backend & calculation systems

Reliable APIs, deterministic calculation services, and the infrastructure behind complex business operations.

API developmentRules enginesData services
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03 /

Workflow automation

Connect the steps between teams and tools. Turn repetitive, error-prone processes into traceable workflows.

Process orchestrationApproval flowsDocument pipelines
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04 /

Enterprise integrations

Make your existing systems work together. Secure integrations across enterprise platforms, internal tools, and AI services.

System integrationIdentity & accessObservability
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Industrial rigor. Broad application. Built around your workflow, whatever your industry.

02 /ENGINEERING IN PRACTICE

FEATURED CASE STUDY
FRANK.

AI assistance.
Engineering discipline.

An approach to verified AI-assisted technical operations—built to connect reasoning with evidence.

FRANK brings approved specifications, deterministic calculation services, structured validation, and human review into one technical workflow. It shows how we engineer the system around the model.

  • Answers grounded in approved specifications
  • Calculations executed by deterministic services
  • Structured outputs checked before review
  • Human judgment at consequential decisions
Explore the engineering approach
F_FRANK / TECHNICAL WORKFLOWILLUSTRATIVE
TECHNICAL REQUEST

Check this calculation against the approved specification.

Source retrieved

Approved specification · reference attached

Calculation service called

Explicit inputs · deterministic result

Structured validation

Input completeness · units · constraints

PREPARED FOR HUMAN REVIEW

Evidence, inputs, and results.
One inspectable decision trail.

Source referencesCalculation recordValidation checks
THE TAKEAWAY

The same architecture can support knowledge work, internal operations, and enterprise workflows well beyond industry.

Demonstrated approach.
No customer deployment or ROI claim.

03 /THE ENGINEERING APPROACH

Every answer needs
a chain of evidence.

Intelligence is one part of the system. We design the controls around it, so you can inspect how a result was reached.

01 / Approved knowledge

Ground with intention.

Retrieve relevant information from approved specifications and controlled documents. Keep the source attached to the answer.

WORKFLOW CONTRACTsource.reference → context
Explicit inputs. Inspectable outputs.

Illustrative architecture · Controls are scoped to each system and its risks.

04 /HOW WE WORK

A clear path.
From problem to system.

Collaborative by design. Precise about scope.
Built to leave you with a system you understand.

  1. 01DISCOVERY & CONSTRAINTS

    Understand

    Map the workflow, the people, and the systems. Establish what success looks like—and what could go wrong.

  2. 02ARCHITECTURE & SCOPE

    Design

    Define the interfaces, controls, and acceptance criteria. Agree on a focused plan before we write the system.

  3. 03IMPLEMENTATION & EVALUATION

    Build & verify

    Deliver in testable increments. Validate against representative cases, edge conditions, and operational requirements.

  4. 04RELEASE & OPERATIONS

    Deploy & hand over

    Prepare deployment, documentation, and runbooks. Plan ownership, monitoring, and ongoing support together.

05 /A FEW ANSWERS

Good questions.
Clear answers.

Complex systems start with a shared understanding.

Have something else in mind? ↗

06 /BUILD SOMETHING THAT WORKS

Bring the
hard problem.
We’ll bring
the engineering.

Tell us what you’re trying to build, connect, or improve. Let’s turn the complexity into a clear next step.

hello@askhoya.com
A conversation about your problem A clear, scoped next step
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