Prepare your SaaS for an AI Agent Future.
Get a plan that uncovers what your users actually struggle with, how you can support the larger workflow that your product fits into, and prepare for an agent-driven future.
Deliver AI experiences.Become agent-ready.
We prepare you for both sides: building AI experiences that solve real user problems, and structuring your product so AI agents can utilize them in their workflow.
Deliver agentic experiences to your users
Map real workflow friction and design AI-powered experiences that take action, reduce steps, and compound in value.
- AI interventions designed around actual user goals
- Agentic experiences that act, not just suggest
- Competitive differentiation through workflow intelligence
Ready your product for AI agent consumption
The next generation of users won't interact with your product directly. Their agents will. We design the surface that makes your product the tool agents choose.
- Product structured for agent discovery and interaction
- APIs and data surfaces designed for agentic orchestration
- Positioned as the default tool in agent-driven workflows
Your SaaS was built for human users.The future runs on agents.
New competitors are AI-native from day one.
A new wave of startups is building agentic-first products that own a larger share of your users' workflow. They don't just add AI features to existing software. They reimagine the entire workflow around what agents can do. Your product solves one step. Theirs orchestrate the whole chain.
Your product is invisible to AI agents.
AI agents are already choosing which tools to use on behalf of your users. If your product isn't structured for agent discovery, interaction, and orchestration, agents will route around you. Not because your product is bad, but because it wasn't built to be found and used by non-human actors.
The window to adapt is closing.
Every month that passes, your users' workflows get more automated and the switching costs to agent-native alternatives get lower. The SaaS companies that prepare now will define how agents interact with their category. The ones that wait will be replaced by the tools agents already know how to use.
What you walk away with.
Four artifacts built from deep user and workflow research. Each one is specific to your product, your users, and their real problems. Not a template.
Workflow & Pain Point Audit
A complete map of your users' workflows, goals, and friction points. Where your product fits in the bigger picture, what users struggle with, and where the highest-impact opportunities live.
User-Centered Insight Synthesis
Key user problems, goals, and workflow friction distilled into a decision framework. Why certain AI interventions will solve real problems, and why others will add noise.
Data Readiness & Competitive Moat Assessment
What data you have, what gives you a defensible edge, and what needs to be structured before AI features ship. Plus: how to make your product accessible to external AI agents without exposing the advantages that make you irreplaceable.
AI-Enhanced Experience & Agentic Blueprint
A concrete plan for how AI solves the specific problems uncovered in the audit. How agents interact with your product, what they can and cannot do, and how the experience evolves for both human users and AI agents.
8–12 weeks. Fixed scope.
A disciplined, time-boxed engagement designed to produce clarity, not billable hours.
Intake & Discovery
Product walkthrough, data architecture review, user feedback mining, and stakeholder alignment. We learn how your product works, who uses it, and where the real friction lives.
User Research & Workflow Mapping
Deep-dive user interviews, workflow decomposition, and pain point identification. We map the full picture: what users are trying to accomplish, where they get stuck, and where AI can genuinely help.
Analysis & Blueprint Development
Synthesis of findings into the four deliverables. Workflow audit, insight synthesis, data readiness assessment, and the AI-enhanced experience blueprint take shape.
Review Workshop & Final Artifacts
Interactive review sessions with your team. Challenge assumptions, refine priorities, and walk away with final deliverables you can act on immediately.
Who this is for. And who it isn't.
Good fit
- B2B SaaS founders and product leaders at $500K–$5M ARR
- Teams with real users, real workflows, and real data
- Products where users have complex workflows that AI could simplify
- Leaders who want to solve user problems, not chase AI trends
- Companies thinking about how agents will reshape their market
Not a fit
- Pre-revenue startups still exploring product-market fit
- Teams looking for someone to build and ship AI features
- Companies that need vendor selection or model benchmarking
- Organizations without product usage data or user access
- Anyone looking for a generic AI roadmap deck
Fixed scope. Fixed deliverables.
$30,000
A fixed-scope engagement helping founders, CEOs, and product leaders navigate an existential technology shift for SaaS.
What's included
- All 4 deliverable artifacts
- 8–12 week structured engagement
- Review workshop with your team
- 30 days of follow-up access for questions
- Decision insurance for executive-level clarity
- Risk reduction before committing engineering resources
- Avoidance of wasted effort on the wrong AI features
- Strategic alignment during a generational platform shift
What you avoid
- Months of internal debate with no resolution
- Building AI features that don't solve real problems
- Costly wrong-first-move implementations
- Falling behind while competitors become agent-native
Common questions.
Start with the problem.Build from clarity.
8–12 weeks. Four artifacts. A plan built on real user problems, not assumptions about AI.