Where Do Agents Fit?

Find the right agents to build before you burn six months guessing

You know AI agents are the move. You don't know which workflows to target first. We run sprints against your real data and tell you exactly where agents will deliver.

Trusted by teams building and running mission-critical platforms

Dunn
HCA
Healthstream
Novo
Accureg
Challenges

The challenge with the status quo

Most agent projects fail because teams pick a technology before they pick a problem. They build a demo, then try to find a workflow for it.

No clear picture of where agents add value
01
Demos that impress but don't connect to real workflows
02
Teams chasing trends instead of outcomes
03
Six-figure cloud bills before anyone asks "why?"
04

How we deliver results in production

Our approach combines product thinking, engineering discipline, and system architecture to build where do agents fit? solutions that are stable today and adaptable tomorrow.

01

Use-case discovery

Workshops with your team to find the highest-impact GenAI opportunities — not the flashiest ones.

02

Architecture evaluation

Figure out whether agentic, assistive, or automated patterns fit each use case and your existing infrastructure.

03

Rapid proof-of-concept

Build lightweight prototypes against your real data. If it doesn't work with your data, it doesn't work.

04

Strategic roadmap

What to build first, what to defer, and what to kill — with a phased plan your team can actually execute.

Outcomes

What you get

Numbers from real engagements, not marketing decks.

Typical sprint from kickoff to actionable roadmap

2-4 wks

to clarity

Of use cases we validate reach production within 12 months

85%

hit production

We kill bad ideas early so you don't spend six months funding them

$0

wasted

Capabilities

What we deliver

Deep technical capabilities paired with strategic thinking to deliver where do agents fit? solutions that work at enterprise scale.

Use-Case Discovery

Find the AI opportunities that actually move the needle — through structured workshops and data analysis, not brainstorming sessions.

System Evaluation

Determine whether agentic, assistive, or automated AI fits each use case and your current infrastructure.

Rapid Proof-of-Concept

Test against your real enterprise data. If it doesn't work with your data, it doesn't work — and we'll tell you that.

Feasibility & Risk Assessment

Evaluate data readiness, integration complexity, and what could go wrong. Honest answers, not what you want to hear.

Strategic Roadmap

What to build, what to skip, what to kill. Phased, prioritized, and written for your team — not a shelf.

Cost & ROI Modeling

Model the expected costs, timelines, and returns so your leadership can make a real decision, not a leap of faith.

Call to action background

Ready to ship?

Talk to our team about your system, challenges, and goals. We'll help you define the right path forward.

Schedule a discovery call