AI, data & workflow engineeringSDVOSB · McLean, VA · federal + enterprise

AI + DATA + WORKFLOW ENGINEERING

Put AI to work.
Move your
business forward.

Turn manual research, document review and disconnected systems into connected workflows your team can use.

OptiSyn designs and builds the AI, data and integrations behind the work. Start with one valuable workflow. Create a foundation for the next.

20-minute fit conversation · No obligation to buy

Veteran-owned. Hands-on engineering.Enterprise operationsFederal programsDelivery partners

Built around the tools you already use

Microsoft AzureDatabricksGoogle CloudPower PlatformSharePoint
Platform experience. Architecture follows your requirements.

Experience the approach

See how the work
moves forward.

Select a workflow. Run a sample. See where evidence, business rules and human judgment fit.

Explore the workflow / 01

From incoming document to a reviewed record.

Extract information, check it against your rules, and send exceptions to the person who can resolve them.

Explore this service ↗

Interactive illustration with fictional data. No AI inference or external system actions run here.

Workflow preview ILLUSTRATIVE
  1. 01Read document
  2. 02Validate fields
  3. 03Human review
  4. 04Update system
Sample input

Supplier invoice / INV-1042

Supplier
Northline Supply
Invoice total
$4,820.00
Purchase order
PO-2187
Ready to explore

Follow a sample through validation, review, and its final handoff.

1 / 4 steps

Relevant engineering experience

Grounded in real
operational work.

Explore the experience ↗
01 / Budget research
Approved sourcesTraceable answer

OptiSyn engagement experience

Source-grounded answers.

Built retrieval, routing, citations and access controls into a full-stack budget research workflow.

Read the engagement context ↗
02 / Connected operations
Operational recordsConnected workflow

OptiSyn engagement experience

Fewer disconnected handoffs.

Connected job-management and accounting workflows with reporting, reconciliation and document automation.

Read the engagement context ↗
03 / Enterprise AI & analytics
Enterprise dataDecision support

Leadership employment experience

Better information for decisions.

Engineering experience across forecasting, product matching, document extraction and contract eligibility.

Read the engagement context ↗

Prior employment work is distinguished from OptiSyn engagements. References and underlying artifacts are shared where permitted.

A practical path to scale

Prove one workflow.
Build on what works.

Growth starts with a useful first implementation and components that can be tested and reused in the next environment.

01

Find the right opportunity

Map the work, establish the baseline and choose the outcome worth improving.

You get: priorities + a defined scope
02

Build it into your operation

Connect systems, implement the workflow and test ordinary cases and exceptions.

You get: working software + evidence
03

Launch, learn and expand

Support adoption, document ownership and assess the next workflow using operating evidence.

You get: handoff + an expansion plan

The engineering underneath

Useful components.
Connected with purpose.

Reusable engineering tailored to your data, permissions and systems.

Retrieval and context

Connect approved sources to grounded answers while retaining the evidence and access boundary.

Deliverable: Retrieval interface, source mapping and grounding tests.

Explore the component ↗
Tool adapters

Give an agent a defined interface to the APIs and actions your workflow requires.

Deliverable: Adapter code, validated schemas and integration tests.

Explore the component ↗
Orchestration

Connect steps with explicit routing, state, retries and recovery behavior.

Deliverable: Workflow definition, state contract and failure-path tests.

Explore the component ↗
Human approval

Pause consequential or uncertain actions and send the right context to a named reviewer.

Deliverable: Approval route, decision record and resume/reject tests.

Explore the component ↗
Document validation

Extract structured fields, identify missing information and flag conflicting records.

Deliverable: Output schema, validation rules and representative cases.

Explore the component ↗
Evaluation and release

Measure component behavior and the complete workflow against agreed cases.

Deliverable: Evaluation harness, case log and acceptance matrix.

Explore the component ↗

Wider deployment is scoped against expected volume, latency, cost, recovery and review capacity. Reuse requires compatible interfaces and permissions.

Make the opportunity tangible

What could your team
get back?

Use your own assumptions to explore the time tied up in one repetitive workflow.

Your workflow, your assumptions

Illustrative monthly capacity
15hours

Potential manual time freed from 50 hours of current effort.

Tasks × minutes ÷ 60 × assumed reduction. An illustration, not a forecast or guaranteed saving. Review effort, implementation and operating costs must be assessed separately.

Discuss the assumptions with us ↗

A clear starting point

Bring the bottleneck.
We’ll work out the next step.

01 / Diagnose

Find what’s worth building.

For a workflow that needs investigation, a clearer scope or a practical route out of a stalled pilot.

  • Current workflow and baseline
  • Data, access and integration review
  • Prioritized findings and acceptance criteria
  • Scoped implementation recommendation
Discuss a workflow diagnostic ↗

02 / Implement

Get the workflow into use.

For a defined requirement with an owner, accessible inputs and an outcome we can agree and test.

  • Workflow and component engineering
  • Integration with approved systems
  • Evaluation and human review controls
  • Deployment documentation and handoff
Discuss an implementation ↗

Fees, timelines and availability are confirmed in the proposal. Ongoing support and expansion are scoped separately.

Already have a delivery team?

Add specialist AI and data engineering to a defined workstream.

Explore delivery partnerships ↗

Before we talk

Good questions.
Clear answers.

Get the readiness checklist ↓
Where should we start with AI?

Start with one recurring task that has a clear owner and measurable friction. We examine the process, available data, integrations and review requirements, then recommend a diagnostic or a scoped build.

Will this work with our existing systems?

We design around your approved environment. Integration feasibility, access, data quality and system limitations are assessed before we commit to a build. Relevant experience includes Azure, Databricks, Google Cloud, APIs, SharePoint and Power Platform.

How do people stay in control?

We define what the workflow can do, which sources it can use, and which decisions need a person. Approval routes, exceptions, logs and evaluation are part of the implementation scope.

Can you support a prime contractor or an existing delivery team?

Yes. We can own a defined AI, data or integration workstream with agreed responsibilities, interfaces and acceptance criteria. Remote delivery, company-to-company contracting and availability are confirmed for each engagement.

What does it cost, and how long does it take?

Fees and dates depend on the workflow, systems, access and agreed deliverables. The first conversation establishes fit; a proposal defines scope, milestones and commercial terms before work begins.

What happens after launch?

You receive the agreed source or configuration, evaluation evidence, deployment documentation and handoff. Monitoring, ongoing maintenance and additional workflows can be scoped separately with confirmed support availability.

Start with one high-value workflow

What work should move faster?

Request a 20-minute fit call. Bring one workflow, the systems involved and what you want to improve.

  1. Discuss the workflow and what is blocking delivery.
  2. Identify the right starting point and what success would look like.
  3. Agree on a useful next action, with no obligation to buy.

After your inquiry, we’ll review the fit and reply with questions or proposed call times. Submitting this form does not reserve a calendar slot.

Business
SDVOSB certified
Delivery
Senior engineering
Location
McLean, Virginia
Project briefUnclassified inquiries

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