Messy inputs in. Ranked, evidence-backed decisions out.
The Financial Planning Agent evaluates financial materials to surface planning and performance insights.
Feed it the chaos
Drop in the JD, the resumes, the team's actual scope — however messy, however many. PDFs, DOCX, LinkedIn exports, the works.
It does the reading nobody has time for
Multi-pass inference maps every resume against a live competency graph. No keyword bingo, no 7-second skim, no vibes-based pass.
Get a verdict, not a guess
Ranked candidates, per-dimension scores, evidence you can click into, and interview questions aimed at the gaps that actually matter.
Enterprise-ready financial intelligence.
Analyze financial documents and planning materials within Automatan.
Turn financial plans and performance reports into actionable insights.
Financial planning requires understanding forecasts, budgets, actual performance, and the drivers behind financial variance.
Improve planning accuracy and business visibility.
See the financial signals behind the numbers.
Not a match percentage. A structured analytical assessment with evidence, risk signals, gaps, and targeted interview recommendations.
Financial intelligence across planning and performance.
The Financial Planning Agent is the analytical engine behind multiple recruitment and talent acquisition solutions.
Resume Screening Automation
→Replace manual first-pass screening with competency-level analysis. Process 500+ candidates per role in minutes, with full evidence for every pass/fail decision.
Interview Intelligence
→Auto-generate role-specific, candidate-specific interview guides that target competency gaps and uncertainties — so every interview hour produces maximum signal.
Talent Pool Benchmarking
→Evaluate candidate pools against role requirements and against each other — surfacing relative strengths, common gaps, and pool-level insights for hiring strategy.
Internal Mobility Matching
→Run the same competency analysis against internal employee profiles to surface redeployment opportunities, development gaps, and succession-ready candidates.
Bias-Reduced Evaluation
→Competency-first analysis evaluates what candidates can do — not where they went to school or which companies they've worked at. Every decision has an auditable evidence chain.
Contractor & Vendor Evaluation
→Extend the same analytical framework to contractor proposals, vendor team bios, and agency submissions — ensuring outsourced work is matched to genuine capability.
Every role screens differently. Point the agent at yours.
Pick what you're hiring for — each one runs a slightly different analysis under the hood, tuned to how that role actually gets evaluated.
Engineering & Technical
→Tells system design experience apart from framework tourism. Calibrated for IC, staff, and management tracks.
Product & Design
→Finds the PM who shipped outcomes, not the PM who attended a lot of standups. Scope and impact, evidenced.
Sales & GTM
→Quota-carrying claims checked against attainment evidence, deal complexity, and territory scope — not title inflation.
Executive & Leadership
→Scope, team scale, and P&L ownership — verified line by line, not assumed from a job title.
Hiring for something else? Every AI Transformation runs on the same engine →
However you hire, this slots in
Same engine, two very different days. Calibrated for hiring contexts from technology and fintech to healthcare and professional services.
For Hiring Teams
Give recruiters and hiring managers a shared, evidence-backed shortlist instead of a pile of resumes and a gut feeling. Every ranking comes with the reasoning attached.
- Cut time-to-shortlist from days to minutes
- Structured evidence hiring managers can actually audit
- Competency-gap analysis before the interview, not after the offer
For Recruiting Agencies
Screen and benchmark candidate pools across multiple clients and roles at once — and back every placement with an evidence trail your client can trust, not just your word.
- Calibrate instantly to each client's role and scoring bar
- Defend placements with exportable, evidence-based reports
- Process volume without sacrificing per-candidate signal
This isn't autocomplete for recruiters
Most hiring tools tell you who applied. This one tells you who can actually do the job — and shows its work.
Expert-Grade Analysis
Not keyword matching or embedding similarity. Multi-step inference chains that evaluate competency depth, experience relevance, and trajectory the way a senior hiring partner would — across every candidate, at once, without getting tired by candidate 40.
Context Awareness
"Led a team of 5" means something different at a pre-seed startup than at a public company. The agent knows the difference and scores accordingly — instead of taking every resume claim at face value.
Cross-Document Reasoning
Every candidate is evaluated against the JD and against the rest of the pool. You get relative strengths and pool-level patterns — not 40 isolated verdicts with no sense of who's actually best.
Decision Support, Not a Black Box
Every recommendation is backed by evidence you can inspect, share, and audit. Match scores decompose into per-dimension ratings. Risk flags link to specific resume passages. Nothing is a mystery number.
Common questions about the Financial Planning Agent
Go deeper
Playbooks, write-ups, and reference docs for teams putting this into production.
Blog
→Field notes on competency-based hiring, screening bias, and what's actually changing in talent acquisition.
Playbooks
→Step-by-step guides for rolling out competency-based screening across a hiring team or agency desk.
Documentation
��API reference, ATS integration guides, and webhook setup for engineering teams wiring this in.
Stop screening.
Start matching.
Upload a job description and a stack of resumes. Get expert-grade candidate assessments in seconds — free to start, no credit card required.