SOFTWARE. DATA. APPLIED AI.

Work.
Optimized.

Good work starts with a clear outcome.

We turn bottlenecks into tested software, connected data, and practical automation. Start with one defined deliverable. Build from there.

01 A clear scope

02 An accountable team

03 A usable handoff

A better way to get it done

WHAT WE DO

Less stuck.
More shipped.

For teams with a bottleneck, a backlog, or a project that needs a little more engineering capacity. We take on a useful piece of the work and see it through.

01 / CONNECT

Make your data
work together.

Connect systems, clean up data flows, and make reporting more dependable.

  • API and system integrations
  • Data pipelines and reconciliation
  • Reporting and migration support
A POSSIBLE FIRST PROJECT

One integration, with automated checks and a documented handoff.

02 / BUILD

Get the repeat work
off your plate.

Build the software and automation that help your team spend less time on workarounds.

  • Internal tools and software enhancements
  • Workflow and operational automation
  • Regression tests and release tooling
A POSSIBLE FIRST PROJECT

A manual workflow turned into a tested, repeatable tool.

03 / APPLY AI

Put AI to
practical use.

Find a specific job for AI, then build and evaluate it against what you actually need.

  • Document and information workflows
  • AI-assisted tools and prototypes
  • Evaluation cases and verification suites
A POSSIBLE FIRST PROJECT

A bounded prototype, with reference examples and repeatable evaluation.

OUR TECHNICAL TOOLKIT Azure & .NET Python & SQL APIs & data platforms AI workflows

HOW WE WORK

Small enough
to start.
Useful enough
to matter.

A focused first engagement gives us a clear finish line—and gives you something real to evaluate before deciding what comes next.

CLEAR SCOPE → REVIEWED WORK → HANDOFF
  1. 01

    Define what “done” looks like.

    We agree on the deliverable, acceptance criteria, client inputs, timing, and commercial terms before work begins.

  2. 02

    Build with a clear owner.

    Megan manages scope and communication. Our technical team handles implementation, using agreed tools and AI where it helps.

  3. 03

    Check the work.

    Human review and relevant automated checks test the result against the acceptance criteria. Progress is something you can inspect.

  4. 04

    Hand over something usable.

    You receive the agreed artifacts, test results, and documentation. We review acceptance together and decide whether there’s a useful next step.

THE PEOPLE BEHIND THE WORK

A small team.
A clear line of
responsibility.

WorkOptimal is the service brand of FischerLynn LLC, an independent, remote-first engineering practice based in St. Louis.

We bring software, data, and AI delivery together with a simple working relationship: a dedicated client lead, an accountable technical team, and clear expectations on both sides.

YOUR CLIENT & DELIVERY LEAD

Megan Lynn

Your primary contact for scope, coordination, progress, and acceptance. One person keeping the engagement connected from first conversation to handoff.

Meet Megan by email
BEHIND THE DELIVERY

Engineering-led. Human-reviewed.

Our technical team brings enterprise software, cloud, and data engineering experience. AI supports production; people own the decisions, review, and finished work.

A FEW PRACTICAL DETAILS

Before we start.

Do we need a fully defined project?

No. Bring the bottleneck, the systems involved, and the result you want. The first conversation is about finding a useful starting scope and whether we’re the right fit.

How do you price an engagement?

We prefer a defined scope with agreed milestones. Fixed-price or time-based terms can work, depending on the project. We agree on the deliverables, revisions, dependencies, and payment terms before making a commitment.

Can you work with our agency or delivery team?

Yes. A contained integration, testing package, or software workstream can be a good starting point. We agree on responsibilities, access, communication, and any contributor requirements with your team up front.

How do you handle AI and our data?

We agree on permitted tools, data handling, and access arrangements before starting. AI is used where it fits the work and your requirements, with human review and appropriate verification.

LET’S FIND A USEFUL STARTING POINT.

What’s one thing
that should
work better?

Tell Megan what’s slowing your team down, what you’d like to change, and any timing or constraints. We’ll start there.

Start a conversation megan.lynn@fischerlynn.com

Direct to a person. No forms to fill out.