SilkFlo is an AI value realization platform that helps enterprises track and prove the financial return on their AI, RPA, and agentic automation investments. It provides an independent governance layer that connects AI initiatives to board-ready proof of return, with features like AI-assisted idea intake, financial business case modeling, and a Realized Value Ledger that compares forecasted versus actual P&L impact. The platform is used by organizations like Aviva UK, which identified £12 million in savings in 21 days.
Funding
Funding not disclosed
Founders
Product
Problem
Most enterprises have moved past the pilot phase of AI and automation adoption, yet boards now demand proof of financial return. Organizations spend millions on Copilot, RPA, and agentic AI but cannot close the loop between what those investments promised and what they delivered to the balance sheet. Vendor dashboards report adoption metrics, while spreadsheets contain original forecasts that are never updated after deployment, leaving leaders unable to audit or defend AI spend at board level.
Solution
SilkFlo is an AI Value Realization Platform that provides an independent financial governance layer for AI and automation portfolios. The platform uses AI-assisted intake to capture and standardize opportunity submissions from across the workforce, then generates detailed financial models and board-ready business cases for Copilot, RPA, agentic AI, and other initiatives. Standardized governance workflows enforce approval checkpoints, risk assessments, and investment thresholds before projects proceed. Post-deployment, SilkFlo's vendor-agnostic API connects to every deployed solution and automatically compares actual P&L impact against the original business case through its Realized Value Ledger, giving leaders a single live view of portfolio health and surfacing underperformers before they drain budget.
Target Audience
Primary users are Heads of AI, Automation Directors, and Finance Directors in enterprises who are accountable for evidencing benefits realization across their AI and automation portfolios, as well as Finance & Ops Leaders and Innovation/Center of Excellence leads.
Features
- AI-assisted idea intake that standardizes submissions and scores them by potential impact, with Solution Blueprints generating financial models for Copilot, RPA, agentic AI, and more
- Stage-gate governance workflows with embedded risk assessments, investment thresholds, and audit-ready decision trails
- Value vs. Effort Matrix that prioritizes initiatives by portfolio return rather than internal advocacy
- Realized Value Ledger that automatically compares forecasted versus actual P&L impact post-deployment
- Vendor-agnostic API integration with deployed tools including UiPath, Microsoft Copilot, Blue Prism, and agentic AI systems
- Portfolio health dashboard with live delivery signals, board-ready reports showing capacity released, cost avoidance, and EBITDA impact
- ISO 27001:2022-certified approval workflows with GDPR and Cyber Essentials compliance