An army of analysts that never sleep. To Finance & Ops Teams From Autograph Subject Scale revenue, not headcount ## An army of analysts that never sleep You pick a critical, repetitive, error-prone workflow. We build you a thoughtful, practical AI agent to automate it. Tailored to your workflows, integrated with your existing systems — within weeks. Best, The Autograph Team Backed by world-class operators Susan Alban Fmr. GM, Uber Eats Alex Song Fmr. VP Finance, Ramp Kartheek Mulpuri Fmr VP Finance, ClickUp Immad Akhund CEO, Mercury Evan Charles Moore Cofounder, DoorDash Avlok Kohli CEO, AngelList Balaji Srinivasan Fmr CTO, Coinbase Adam Swick CSO, Marathon Digital Pooja Parthasarathy Strategic Ops, Stripe David Ma VP Sales, ZipHQ Casey Woo CEO, Operators Guild Carol MacKinlay Fmr. CHRO Binance US "HR is 10% of our revenue. We need to bring that under 5% — automating rote work and redirecting energy to talent strategy." VP Ops, 800-person private company "We have 40–50 people whose entire job is gluing systems together. That's the headcount I want back." VP Finance, Series D startup "4 hires slipped through approvals — $1M+ in unplanned spend. Autograph caught it." Head of HR, 400-person public co. ## Your Current Workflow | What happens | Why it's broken | Hrs/wk | | --- | --- | --- | | 1 | Reconciling headcount across HRIS, ATS, and plan | Fields don't match across systems | 12+ | | 2 | Chasing approvals for off-plan hires | No single source of truth | 8+ | | 3 | Building ARR bridge for board deck | Bookings ≠ billing ≠ GL | 6+ | | 4 | Status meetings that should be dashboards | Data is stale by the time you present it | 5+ | | 5 | "Glue work" — people whose job is connecting systems | Things that should be automated are someone's full-time role | 40+ | ## Autograph: **We fix this.** We pull data from your systems into a smart, unified model — then deploy agents configured for your specific workflows. ## What workflows are eating up your team's time? Describe what you're dealing with, or pick one of the common use cases below. ### Explore our pre-built agents Workday tracks headcount. Salesforce tracks deals. NetSuite tracks money. Snowflake is a catchall. None of them reconcile the gaps between systems — that's where the chaos lives, and where our agents shine. | Requisition | Renewals | Compensation | Accruals | Headcount | Sales Capacity | Custom ✎ | | --- | --- | --- | --- | --- | --- | --- | ### "Hiring is taking forever and nobody knows why." Our recruiting agent monitors every role from creation to close — flagging bottlenecks, nudging the right people, and making sure no requisition gets stuck without someone knowing why. [About our AI Requisition Coordinator →](https://www.autograph.so/recruiting) ### "We don't know which customers are at risk until it's too late." By integrating product analytics, support tickets, and your CRM, our retention agent scores every account and surfaces churn risk and expansion opportunities before the renewal conversation. [About our AI Renewals Analyst →](https://www.autograph.so/renewals) ### "Comp decisions are a black box." Our compensation agent surfaces the full context for every change — market data, internal equity, and budget impact — giving managers real visibility into bands without the spreadsheet chaos. [About our AI Compensation Analyst →](https://www.autograph.so/compensation) ### "Month-end close is a fire drill." Our revenue agent continuously reconciles bookings, billing, and your GL — explaining every variance and pre-building the ARR bridge before anyone asks for it. [About our AI Accruals Analyst →](https://www.autograph.so/accruals) ### "We're always surprised by budget overruns." Our headcount agent watches every offer against the approved plan and flags variances before they hit the P&L — so you always know exactly where you stand. [About our AI Headcount Analyst →](https://www.autograph.so/headcount) ### "Sales capacity is always out of sync with hiring." Our sales capacity agent keeps your GTM engine calibrated — continuously monitoring quota attainment, territory changes, and pipeline hygiene so capacity stays in sync with hiring. [About our AI Sales Ops Analyst →](https://www.autograph.so/sales-ops) ### "We have something weird and specific." Insurance bordereau reports. Partner payout calculations. Multi-geo capacity planning. If your workflow involves multiple systems and manual work, we can build a custom agent for it — typically in under 8 weeks. [About our Custom-Built Agents →](https://www.autograph.so/custom) ## Deploy in weeks, not quarters Most "AI automation" fails because it's built on bad data — systems that don't talk to each other, context that's stuck in spreadsheets, or fields that don't mean the same thing. We solve this by building a custom unified data model of your business, plugged into your existing systems with easy CSV uploads. Only then do we deploy agents configured for your specific workflows. | Pre-built agents | Custom agents | | --- | --- | | Wk 1 | Wk 2 | | Wk 3 | Wk 4 | | Wk 5 | Wk 6+ | Discovery Map systems & data Pilot First agent live Expand → Add workflows Typical: **2 weeks to first agent.** No multi-year commits. Wk 0 Wk 1 Wk 2 Wk 3 Wk 4 Wk 5 Wk 6 Wk 7 Wk 8 Phase 1: Prototype Intro → Demo → Go/no-go Phase 2: PoC Feedback → UX & workflows Phase 3: Iterate & Ship → Weekly cycles → Final review Typical custom pilot: **8 weeks to production.** Go/no-go at every phase. ## The Coordination Tax There's been a hidden cost to running a business: 10%+ of headcount cost spent on "glue" activities to coordinate between people and between software systems. Finance is busy with reconciliation instead of capital allocation; sales is updating attribution spreadsheets instead of closing deals; CX is trying to pull data from 10+ systems instead of engaging with customers; HRBPs are focused on getting approvals instead of boosting talent. This is the coordination tax. **We kill it.** ## Every engagement starts with a conversation. What's the workflow that's eating your team's time?