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AI training, strategy & implementation.
A practical operating model for turning AI experimentation into repeatable, firm-wide capability.
AI tools are everywhere. Real impact is hard.
The firms that pull ahead rebuild real workflows around AI and train their people to run them.
of executives report no productivity or employment impact from AI over three years, even with adoption at 69%.
the revenue of a control group, for startups shown how AI-native firms reorganized their work around AI. Demand for labor stayed flat.
points added to AI's productivity gain for every extra point EU firms spend on training.
Why many AI efforts stall before they scale.
Uneven adoption
Power users accelerate while the broader team lacks a practical baseline.
No clear starting point
A fast-moving market makes it hard to know which tools, models, and use cases deserve investment.
Execution gap
Teams lack the time, training, and plan to make lasting changes stick.
Generic training
Off-the-shelf programs ignore the workflows, data, and decisions that drive your business.
Each phase stands alone.
Together, they compound.
Training & Enablement
Build firm-wide AI fluency with live training tailored by role and level.
Strategy & Assessment
Map workflows, surface the highest-ROI opportunities, and design the roadmap.
Firm-wide Implementation
Deploy durable capability with governance, architecture, and ownership.
Start with low-hanging efficiency gains.
Scale productivity across the firm.
Individual Adoption
Put AI to work on high-value workflows to save time and remove friction. It's also how the firm learns AI, by putting it into action.
Firmwide Integration
Weave AI into how the firm works day to day, turning early efficiency gains into lasting productivity, added capacity, and new revenue.
We start where AI can launch fast, run safely, and show measurable impact.
Business relevance
Tied to a real workflow: investment decisions, client service, reporting, or risk.
Clear owner
A team or individual sponsors the workflow and signs off on the output.
Available inputs
The data, documents, and examples already exist and are accessible.
Human review
Output is checked before use, with governance and citations built in.
Speed to value
A first version launches in hours or days, on tools you already have.
Measurable outcome
Time saved, faster cycles, wider coverage, or better quality you can track.
Give AI the context to understand your business.
Plugging AI into your tools makes individuals more efficient. Building the intelligence layer beneath them makes the business more intelligent: better decisions, smoother workflows, stronger outcomes.
A shared language standardizing concepts and relationships across tools and teams.
A map of real workflows, personas, decisions, and controls, including what good looks like.
The secure services connecting your systems to analytics and agents.
Discover
Inventory your systems, data, reports, controls, workflows, and pain points.
Creates a shared view of where context is lost.
Define
Define the concepts, relationships, rules, personas, and decision points.
Creates a common language and model of the firm.
Connect
Link structured and unstructured information through secure services.
Creates a governed intelligence layer, not a silo.
Activate
Apply the foundation to focused workflows with permissions and review points.
Creates decisions that move to appropriate action.
Build for scale.
Begin with an Enterprise Intelligence Proof of Concept: pick one high-value workflow and map its language, data, decisions, and controls. You leave with a practical blueprint and a first use case in as little as 30 days.
Start a proof of conceptA practical menu of high-value AI workflows.
Firm-wide productivity & capacity
Institutional knowledge base, meeting notes to memo, inbox triage, operational quick wins.
Research, reporting & decision support
Pre-meeting briefs, transcript and filing summaries, IC and board materials.
Sourcing, screening & due diligence
Investment and manager sourcing, first-pass due diligence, public and private investment tear sheets.
Investor relations & client communications
CRM hygiene, LP and advisor updates, fund one-pagers, investor letters.
From first conversation to first live use cases in weeks.
Discover
Map workflows, pain points, tools, data, and constraints.
Prioritize
Score candidates on impact, feasibility, and time to value.
Implement
Launch first use cases with owners and metrics. Scale what works.
