Set the comparison and scale rules.
- Value-creation themes and decision criteria
- Comparable evidence and reporting definitions
- Investment thresholds and portfolio patterns
- Conditions for replication or withdrawal
Private Equity
Put one high-value workflow into production in one portfolio company.
We work with the sponsor, the portfolio-company executive, and the operators closest to the work to deliver a bounded production outcome in 4–6 weeks. The $40K–$75K Production Sprint depends on a usable baseline, clear scope, accountable ownership, and access readiness.
4–6 weekssubject to readiness
Oneproduction workflow
Measurethe operating outcome
Commercial fit
Start with a production result, then choose the right operating relationship.
Lasso focuses on PE-backed and operationally intensive businesses where one workflow can carry a meaningful economic consequence. The broad fit is typically a $50M–$2B business, while the workflow and access determine the actual engagement.
Production Sprint · $40K–$75K
Prove delivery in one portfolio company.
Put one ready workflow into production in 4–6 weeks with integrations, acceptance measures, operating controls, rollout, training, and accountable ownership.
Discuss a Production SprintOutcome PartnershipAlign part of the economics when attribution is sound.
A $25K–$50K minimum fee plus carefully measured and capped performance economics where timing, attribution, controls, and client responsibilities are explicit.
Discuss outcome fitAI Operating PartnerAdd sustained capacity to the value-creation agenda.
$30K–$75K+ per month for 3–12 months when leadership needs ongoing workflow delivery, adoption, measurement, and operating support across a broader transformation agenda.
Discuss an operating partnershipOperating Model
One portfolio standard. Clear company ownership.
The sponsor can establish common priorities, measures, investment thresholds, and scale gates. Each portfolio company remains accountable for its workflow, data permissions, operating decisions, user adoption, and actual results.
Own the workflow and the outcome.
- Process, data access, and system constraints
- Daily operating owner and accountable sponsor
- User adoption, training, review, and exceptions
- Observed results and corrective action
Expansion Gate
Build where the work happens. Scale when the evidence travels.
Expand only when the workflow meets its outcome target, earns consistent use, holds quality in production, stays within approval and risk limits, and can be repeated under comparable operating conditions.
01Baseline
Source, period, owner, confidence.
02Forecast
Range, assumptions, full cost, controls.
03Actuals
Use, quality, exceptions, cost, outcome.
04Decision
Stop, correct, continue, or expand.
For valuation, investment, employment, customer, legal, or other sensitive decisions, AI supports the analysis; accountable professionals retain judgment and approval.
Methods
The operating principles behind this page.
These references inform the governance, measurement, and decision structure. They do not validate any illustrative input or predict a portfolio outcome.
NIST AI Risk Management Framework Core
Role clarity, context, testing, production monitoring, feedback, and go or no-go decisions.
U.S. GAO AI Accountability Framework
Governance, data, performance, monitoring, and conditions for expanding an AI system.
UK DBT Evaluation and Performance Analysis Playbook
Current-cost baselines, real-world measures, ongoing evaluation, and value-for-money analysis.
IPEV Valuation Guidelines 2025
Documented assumptions, backtesting against observed results, professional judgment, and accountability.
Start with one production workflow
Bring one portfolio company, one accountable executive, and one ready workflow.
We will assess the baseline, scope, access, production outcome, and acceptance measures directly. When readiness is incomplete, we will define what must be resolved before a sprint commitment.