AI deployment for high-value workflows.
We embed with your team and map how work actually moves before we build anything. Then we add agents only where the outcome justifies the cost.
What we do
We start with your business, not the AI.
Novan Labs helps companies deploy AI into real business workflows. We are not here to token-max or drop agents into your company and call it transformation. We map expensive manual processes, find where they can genuinely be improved, and add agents where they actually make sense.
Built for teams with expensive, repetitive, judgment-heavy work: investment and private equity firms, consulting firms, insurance agencies and carriers, and operating businesses with messy internal processes.
The answer isn't AI in everything.
It's understanding your business well enough to know where an agent earns its cost. No AI for the sake of AI. No agents that cost more to run than the work they save. We model what each process actually costs to run, weigh it against the outcome you need, and keep you on budget getting there.
How we work
Understand, evaluate, deploy.
Understand
We map your workflows and find where the expensive, judgment-heavy work lives.
Evaluate
We decide where an agent actually makes sense, modeling what each process costs to run against the outcome it drives.
Deploy
We add agents where they earn their place, measure the results, and keep you on budget.
Example workflows
What this looks like in practice.
Investment & diligence
Screening, document review, and research support for investment and private equity teams.
Insurance operations
Intake, classification, and processing workflows for agencies and carriers.
Internal operations
Turning messy internal processes into reliable, AI-assisted systems.
Field & services
AI-enabled workflow deployment for a construction and home-services business.
Marketing & growth
Automation and AI tooling built for a marketing agency.
Under the hood
Agentic workflows, evaluation loops, token and cost-aware systems, and internal tools.
Why Novan
Outcome-focused, and honest about cost.
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We understand your business first
Mapping and judgment come before any agent gets built. Context is the work.
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Agents only where they earn their place
No AI for the sake of AI. If an agent doesn't justify its cost, we don't ship it.
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Cost-aware by design
We model the tokenomics of every process so automation stays economical at scale.
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Focused on the outcome
We measure against the results you actually need, and keep you on budget getting there.
FAQ
Questions teams ask us.
What happens on the call?
It's a working session, not a pitch. We walk through how a workflow actually runs today, find where an agent could realistically help, and figure out what it would touch and what it would cost to run.
How long does it take to deploy?
It depends on the workflow and the systems involved. After discovery, once we understand the scope, we give you a realistic timeline before any work starts.
How much of our time does it take?
We do the heavy lifting. Your team mainly provides context on how the process runs today and the systems it touches. We scope the exact ask with you up front.
How do you handle security and governance?
Agents run inside your existing systems and permissions, so there's nothing new to lock down. Every action an agent takes is logged, so you can monitor and audit it.
How does pricing work?
Pricing is set after discovery, once we've modeled what the workflow actually costs to run. If the numbers don't justify it, we'll tell you.
Find your highest-leverage workflow.
Tell us where the expensive, repetitive work lives. We will show you what AI can take off your team's plate, and what it should cost to get there.