Systems and data
What tools does your org run on? Where is the data? Is it queryable, structured, and accessible to agents? We map your systems landscape and identify what's ready, what's fragmented, and what's missing entirely.
AI READINESS
Know where you stand before you invest.
AI readiness is the prerequisite for everything else. We assess where AI creates real leverage for your business: internal operations, customer-facing products, or both. Systems, data, workflows, team capabilities, and product opportunities, mapped and prioritized so you know what to build first.
THE STARTING POINT
The models are ready. Your organization's knowledge is the bottleneck.
The knowledge that makes your company run lives in people's heads, Slack threads, spreadsheets, and undocumented processes. Until that knowledge is captured and structured, AI systems produce generic output. With it, they produce judgment-quality recommendations and surface opportunities no human had the bandwidth to notice.
Readiness is the safe first investment. It's indisputably important, it produces immediate clarity, and it naturally scopes what to do next. Every automation, every workflow redesign, every AI product decision builds on this foundation.
WHAT WE ASSESS
A clear picture of where you are today.
Institutional knowledge
The most valuable context in your company is rarely documented. We identify where critical knowledge lives (and doesn't), what's tribal, and what needs to be captured for AI systems to act reliably.
Workflows and operations
We interview your operators, walk the actual systems, and map which workflows are candidates for redesign. We do the math: people, hours, frequency, cost. You leave with a budget conversation with clear numbers behind it.
Org structure and decision rights
Agents surface decisions faster than most orgs can close them. We assess whether named owners exist, whether decision authority is clear, and where the organizational bottlenecks will show up when automation speeds things up.
Team capabilities
Where is your team on the AI adoption curve? Who are the internal advocates already building quietly? What skills need to develop, and where do roles need to evolve?
Opportunity mapping
A ranked list of automation, product, and revenue opportunities with effort and impact estimates. Scoped to your actual situation, grounded in what we saw in the assessment.
WHAT YOU GET
Actionable output, not a shelf report.
AI readiness map
Systems, data, knowledge gaps, and workflow candidates assessed and documented. Where AI has leverage now and where it will once specific prerequisites are met.
Prioritized opportunity backlog
Ranked automation and product opportunities with effort, impact, data readiness, and adoption risk estimates. The roadmap for what to build first.
Data readiness assessment
Which data sources are accessible and structured, which need work, and what the path looks like to make them queryable by agents and intelligence systems.
Recommendations for next steps
Concrete guidance on where to invest: which workflows to redesign, which team capabilities to build, and whether an embedded operator sprint, a training program, or a full transformation engagement is the right next move.
CLOSING THE GAPS
Each gap becomes its own project.
The readiness assessment tells you where you stand. From there, we help you close the specific gaps that matter most. Each of these is a standalone engagement scoped to your priorities.
Knowledge graph
Your company's data and relationships, structured and accessible to agents and people. The foundation everything else builds on.
Learn more →Intelligence layer
Cross-functional synthesis, pattern detection, and strategic recommendations for leadership. The questions you always had, answered.
Learn more →Agentic automations
Map current processes, design AI-native versions, and build the workflows that run them. End-to-end operational automation with human oversight where it matters.
Learn more →AI-native products
Identify new capabilities, markets, and revenue surfaces that AI unlocks, then build and ship them. From opportunity discovery through production.
Custom ML
Purpose-built models for pricing, forecasting, recommendation, and domain-specific optimization.
Training and enablement
Hands-on training for your teams. Leadership coaching on org design and role evolution as automation deepens.
Learn more →Assurance and security
Evaluations, guardrails, red-teaming, and runtime monitoring. Alignment architecture that scales with autonomy.
Learn more →HOW IT WORKS
Scoped to your specific situation.
Readiness assessments are typically 2–4 weeks depending on the scope. We can focus on a single department or business unit, or assess across the whole organization. The output is always scoped to actionable next steps.
Week 1 Discovery
Stakeholder interviews, system walkthroughs, and team conversations. We learn how work actually moves through your organization (which is rarely how the org chart says it does).
Week 2 Analysis
We synthesize what we've learned: map systems, quantify workflows, assess data readiness, and rank the opportunity set. Preliminary findings shared with your sponsor for course correction.
Week 3–4 Delivery
Final readiness map, prioritized opportunity backlog, and concrete recommendations delivered to your leadership team. This becomes the foundation for everything that follows: operator sprints, workflow redesign, training, or a full transformation engagement.
Ready to find out where AI creates real leverage?
The readiness assessment is the starting point for everything we build. It takes 2-4 weeks and produces a concrete plan you can act on.