Discover the right opportunity
Map workflows, surface bottlenecks, and separate promising AI use cases from expensive distractions.
Workflow evidence · value hypothesis · priorityForthlane turns operational friction into controlled, measurable progress—with AI agents shaped around your workflows, your people, and your goals.
It needs the right work to move—faster, more consistently, and with control.
We find the places where work stalls between people and systems, then design a practical path from operating evidence to a useful agent. No forced catalog match. No pretending an unproven idea is already a product.
Forthlane combines operational discovery, agent implementation, and ongoing improvement into one accountable engagement.
Map workflows, surface bottlenecks, and separate promising AI use cases from expensive distractions.
Workflow evidence · value hypothesis · priorityImplement a controlled pilot in the systems your team already uses, with clear review points and boundaries.
Client environment · human control · acceptanceTrack adoption, value, exceptions, and cost so the system gets better—and so you know what deserves to scale.
Measurement · optimization · repeatabilityScroll to move the work from evidence to operating advantage.
We map the real workflow—handoffs, systems, exceptions, delays, and the baseline your team trusts.
We rank opportunities by impact, confidence, effort, risk, and the outcome that will prove value.
We implement the approved workflow in your environment, with human review, acceptance criteria, and clear boundaries.
We watch adoption, exceptions, cost, and value—then tune the system using evidence from the work itself.
Proven patterns become repeatable advantages across teams, locations, and adjacent workflows.
Your production agents run in your organization’s AI and cloud accounts. We bring the method, implementation, care, and evidence loop—without creating artificial lock-in.
Every build begins with a bounded workflow and a measurable reason to act.
Human review, security requirements, and stop conditions are part of the solution—not an afterthought.
Provisional work earns maturity through delivery evidence, adoption, and actual outcomes.
Share the friction—not sensitive data. In about three minutes, Agent Fit compares your needs with Forthlane’s evolving capability library and returns a focused set of starting hypotheses.
Forthlane exists to make advanced automation practical for growing organizations: grounded in the work, accountable to outcomes, and designed to strengthen the people operating it.
We believe the most valuable agent is not the most impressive demo. It is the one a team can trust, adopt, measure, and improve.

Building practical AI around the work that matters.
Ryan founded Forthlane to help growing organizations turn operational friction into controlled, measurable progress. He leads with the work itself—how it moves across people, systems, decisions, and handoffs—before prescribing technology. Through Forthlane’s ORBIT system, Ryan helps teams identify meaningful leverage, shape right-sized pilots, and establish the governance and measurement required for durable adoption.
The best agent is not the most impressive demo. It is the one your team can trust, adopt, measure, and keep improving.

Engineering dependable systems for real operating environments.
Brad brings more than two decades of software development and management experience to Forthlane, alongside his role as VP of Engineering at Laughlin Constable. He pairs hands-on technical depth with the judgment required to lead teams, modernize systems, and deliver technology that performs beyond the prototype. At Forthlane, Brad helps turn promising agent concepts into secure, maintainable capabilities that fit the way an organization actually works.
Useful AI earns its place through sound engineering, clear controls, and results people can rely on.
Have a workflow in mind, a partnership question, or just want to understand what is possible? Send a note. If you are ready to explore a specific operating problem, Agent Fit is the faster path.