Finance workflow agents
AI Agents for Finance
AI agents for finance need one verified memory underneath them. Arvya runs every workflow (briefs, CRM writeback, tracking, updates) as a view over cited deal memory, with human approval on every write.
Book a Working SessionAI agents for finance fail as a collection of disconnected bots, each with its own partial view. Arvya takes the opposite shape: one platform, one verified deal memory, and every workflow (pre-call briefs, meeting capture, CRM writeback, buyer tracking, weekly updates) runs as a view over that shared memory. Every fact is cited, every write is human approved and read back as a receipt. Arvya is also building MCP access so Claude and Microsoft Copilot can answer from the firm's memory (permissioned, cited, and audit-logged), in development.
// who this is for
Financial firms that want agents doing real workflow preparation, not only summarizing documents.
Teams evaluating AI for CRM upkeep, meeting capture, deal tracking, and reporting.
Leaders who need human-in-the-loop controls before anything writes to email, calendar, CRM, or trackers.
The problem
- Standalone agents each keep their own state, so the firm ends up with more silos, not fewer.
- Finance workflows involve sensitive data and cannot tolerate silent actions or unsupported claims.
- An agent without verified memory guesses; an agent without an approval path is a liability.
What Arvya does
- Runs every workflow over one verified Deal Brain, so each action improves the memory available to the next.
- Produces reviewable outputs (CRM updates, briefs, tracker changes, weekly client updates), each with the evidence attached.
- Keeps every write human approved, audit-logged, and confirmed with a read-back receipt.
// how it works
Define the workflow's job, sources, permissions, success criteria, and review path.
Connect it to the shared deal memory, the CRM, and Microsoft 365 context: the systems the firm already owns.
Deploy into the workflow with citations, staged actions, and approval controls; measure against a baseline.
// works with
Frequently asked questions
What finance workflows are good candidates for AI agents?
Workflows where the inputs already exist digitally and the output has a natural human checkpoint: CRM upkeep and enrichment, pre-call briefs, meeting capture into structured updates, buyer and pipeline tracking, drift monitoring on records, data room Q&A, and weekly status updates. The common thread is that the firm's email, calls, and documents already contain the answer. The work is verification and routing, not generation.
Do Arvya agents act automatically?
No write or send happens without a human approval. Arvya prepares the update, draft, brief, or CRM writeback with evidence attached; a person approves it; then Arvya executes and reads the record back as a receipt. The self-driving direction (process management that keeps every deal's status current as a byproduct of work) is in development, and it keeps the same approval-first model.
// related
AI for Finance →
Arvya helps financial firms turn AI into working systems: one verified memory built from the firm's own email, calls, CRM, and documents, with cited outputs and human approval on every consequential action.
AI for Financial Services →
Arvya implements cited, approval-gated AI workflows for financial services teams. Deployment, delegated permissions, retention, system access, and audit boundaries are confirmed for each engagement.
Deal Brain →
The Deal Brain is Arvya's verified memory for each live deal (every fact cited to its source) and the foundation of the Company Brain, the firm-wide cross-deal memory in development.
CRM Trust Workflow for Deal Teams →
Arvya makes DealCloud, Salesforce, and the CRM your firm already owns trustworthy again: bulk enrichment from SEC filings and firm websites, evidence backed updates a human approves, and a read-back receipt on every write.
One live mandate