Workflow mapping first
Every process is scored by ROI, feasibility and time-to-value before anything is built.
Astira AI Cortex in action.
Demonstrate value in the first 90 days, embed AI into operations during year one, and build on those gains throughout the investment. Start with focused improvements, then extend what works.
From one build to every company.
Build once
In Astira AI CortexAI capability is built once, centrally, inside Astira AI Cortex, the anchor for every deployment, then reused across the portfolio rather than rebuilt at each company.
Customize
At each companyAdapted to each business, its expertise and workflows, starting with process mapping and a roadmap agreed with management.
Deploy
In productionAI engines, agents and dashboards become part of day-to-day operations, with performance measured weekly and reported to the board.
Compound
Across the portfolioExpert corrections train the models, and learnings from each company flow into the others.
The playbook is repeatable.
One shared process
Rules, models, agents and expert judgment work together to balance reliability and cost.
Learning from expertise
Knowledge from recovery work and business decisions accumulates with each engagement, strengthening the models over time.
A roadmap in 90 days
A consistent assessment process for each portfolio company.
Proof of concept in the first 90 days, embed in year one, compound for the hold.
Prove and Embed rewire how the work gets done. Compound puts AI into what customers buy.
AI workflow mapping scores every process by ROI, feasibility and time-to-value.
Entry point: AI Opportunity ScanKey outputs
- Consistent initial assessment across portfolio companies
- Every process scored, roadmap approved
- Prioritized automation backlog
- Early wins selected for build
- AI roadmap approved with management
- Minute-by-minute workflow map
- Quick-win builds started
Quick wins become production assets: engines, agents and dashboards land in the operating rhythm, one quarterly go-live at a time.
Cadence: quarterly go-livesKey outputs
- Production assets, not pilots
- Measured weekly, visible at the board
- Expert review stays in the loop
- Change management from day one
- Corpora start compounding
- Playbook captured for the next platform
AI moves into what customers buy, and cross-portfolio learnings flow into every company for the life of the investment.
Outcome: AI in the productKey outputs
- AI inside the customer offering
- Models improve with every client and close
- Learnings shared across the portfolio
- Impact tracked through to the P&L
Wondering where AI fits in your firm?
A first conversation starts with your workflows and your P&L, not with models.