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A multi-agent advisory board
for fractional CFOs.

Encrypted per-tenant. Specialized AI advisors for tax, capital strategy, and executive financial leadership. Built for the CFO who serves multiple clients.

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AES-256 per-tenant encryption Multi-agent collaboration Battle-tested isolation
— Built for the table that matters —
Inside The Conversation

Multiple advisors. Real disagreement.

When you activate more than one advisor, they respond in sequence. Each one sees the prior replies, references the others by name, and builds toward a single recommendation.

apex industrial / ar aging diagnosis 3 advisors active
You DSO drifted from 35 to 71 days over four quarters. $4.8M trapped in AR. Diagnose and propose a fix that doesn't blow up customer relationships.
⚙ search_documents "AR aging by customer cohort" 4 chunks
CIPHER · Tax & Accounting Bad debt allowance is understated by ~$340K based on the 91-120 bucket. ASC 326 CECL methodology requires forward-looking estimates. AR turnover ratio sits at 5.1 vs your industry benchmark 8.2. Booking the catch-up creates an FY income hit but a deferred-tax-asset offset.
VECTOR · Capital & Markets Cost of carry on $4.8M at your 8.5% blended rate is $408K/year burning. Three options: factor the worst-aging buckets at 3.5% discount, draw on the $11M revolver at SOFR+250, or tighten terms. Factoring the over-90 bucket nets $56K vs $136K of carry saved.
stanton saas / pe rollover diligence 4 advisors active · discuss mode
You PE-backed roll-up offering $185M for our client's SaaS. Founder has 32% post-Series-B, QSBS-eligible since 2021. Buyer wants 338(h)(10) treatment with 25% rolled equity. How do we preserve 1202 on the rolled portion AND avoid the working-capital-peg trap that bit the Argent deal?
⚙ search_documents "term sheet, Section 1202 holding analysis" 6 chunks
CIPHER · Tax & Accounting 338(h)(10) breaks 1202 on the rolled equity. F-reorg under 368(a)(1)(F) immediately before close lands the rolled shares in a new corp where the 5-year clock keeps ticking. Stack via 1202(h)(4) grantor-trust transfers pre-close. ~$8M federal saved at exit.
VECTOR · Capital & Markets Agree on F-reorg. On the WC peg: at 124% NRR, the buyer will anchor using LTM-trailing average and that hits you ~$2.4M because deferred revenue spiked Q4. Negotiate a forward-looking NTM peg, cash-free / debt-free, deferred revenue below-the-line.
You Buyer countered. Won't move off the LTM peg, wants a 24-month indemnity tail and a $4M holdback. Walk or push back?
⚙ search_conversations "argent deal working capital peg outcome" 1 prior turn
ATLAS · M&A & Deals Push back. Don't walk. 24-month tail is market for SaaS with 47% top-5 concentration, but $4M holdback on a $46M cash slice is excessive — counter at $2.5M with a 12-month release on half. On the LTM peg, concede if they accept a $1.8M working-capital floor adjustment. R&W insurance at 1% of EV / 0.5% retention takes the indemnity sting off either way.
PRAXIS · Operations One Atlas didn't flag. Top-5 concentration is 47% per the data room. Buyer will tie the indemnity carve-out directly to those logos churning inside 18 months. That's $20-40M of contingent risk hidden in the tail. Start cohort-diversification prep now or the next round of this negotiation costs you a 1.5x ARR haircut.
⚠ 2 figures not in source. $8M, 1.5x (hover for detail)
Capabilities

Five tools. Real grounding.

The tools each advisor reaches for, automatically. No prompts to write, no integrations to wire — agents pick the right tool per turn.

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search_documents
Hybrid semantic + keyword search across the entity's documents. Returns chunks with filenames + relevance scores.
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list_documents
Orientation pass. Returns every doc in the entity with its summary metadata — for "what files do we have?"
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get_document_full
The deep-dive. Pulls the entire extracted document end-to-end when chunk excerpts aren't precise enough.
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search_conversations
Cross-thread memory recall. Surfaces prior chat turns where the topic was discussed, regardless of thread.
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citation contract
Every numeric and date claim post-validated against source documents. Unverified claims get flagged before you read them.
Platform

Engineered for precision and trust.

The pieces that make AI advisory actually safe to use on real client data.

01
Round-robin advisory
Multiple advisors weigh in on one question, building on each other in sequence — like a real meeting.
02
Cross-thread memory
Conversations indexed automatically. Advisors recall prior discussions across threads and clients.
03
Citation contract
Every numeric claim post-validated against the source documents. Hallucinations get flagged before you read them.
04
Encrypted per tenant
AES-256-GCM at rest. Per-tenant SQLite isolation. Cross-tenant boundaries battle-tested.
05
Document deep dive
Five chat tools including full-document recall. Advisors read the line item, not just the summary.
06
Cap-aware
Per-tenant monthly cost ceiling. Workers throttle automatically. No surprise bills.