Rationalise the tooling stack, install FinOps discipline on SaaS + cloud spend, and stand up the AI/automation layer (RPA + AI Agents + IDP) that compounds operating leverage.
By Series A, most teams have 4–6× the SaaS tools they actually use, with 30–40% license waste. AI agents + RPA + IDP can absorb 20–30% of operational toil — but only on top of a rationalised stack with FinOps governance.
A senior-led delivery sequence — not a template dump. Each phase is operated with your team, not handed over as a deck.
Inventory every SaaS, cloud and hardware spend line; identify overlap, shelfware and consolidation candidates with each function head.
FinOps charter installed (license-utilisation audit, ownership, monthly review); AWS / Azure / GCP optimisation plan with reserved-instance + rightsizing actions.
Pick iPaaS (Zapier / n8n / Workato), draw the end-to-end integration map, lock the system-of-record per data domain.
Top-10 RPA backlog scored on toil-saved × feasibility; first 3 bots and the IDP layer (invoices / contracts / KYC) built and shipped to production.
Sales / ops / support copilot agents designed with explicit guardrails, evaluation harness and human-in-the-loop checkpoints; piloted with one function.
Monthly FinOps + automation review wired; SaaS + cloud savings tracked to the P&L with finance reconciliation.
6–8 weeks