Agentic workflows for monthly close, forecast review, and management reporting — AI agents that handle the routine work, with human approval at every decision point that matters.
We document your current close, forecast, and reporting process — identifying the manual steps where agents genuinely add value.
Every agent workflow designed with human approval gates, cost controls, and audit logging before any build begins.
Agents built, accuracy tested against your real close data, and handed over with full documentation so your team can run and govern them.
Agentic finance workflows represent the next step beyond individual AI capabilities — multiple agents working together to handle a complete finance process, passing outputs between steps, with human approval at the decision points that actually matter. The architecture of these workflows determines whether they are trustworthy in production or only work in demos.
The most important design decision in agentic workflows is where human approval is placed. We design these checkpoints around finance governance requirements, not around what is technically convenient. Agents can draft, rank, summarise, and prepare — but finance leadership approves, and the audit trail proves it.
We build agentic workflows using LangGraph for multi-agent orchestration and Workday Extend for native Workday integration. Cost controls and token budgets are built in from the start — agentic workflows that are not cost-governed can become expensive quickly. Every workflow we deliver includes a cost projection and monitoring dashboard.
Ready to talk about your planning architecture?
Talk to our team →We’ll assess your current environment and give you an honest view of what needs to change — and how to get there.