Forward Deployed AI
A Starter Stack engineer joins your ops team and ships production-grade AI tooling weekly. Monthly subscription. Full code ownership. Average deploy time: 48 hours.
How It Works
- Scope — We identify your highest-ROI automation targets across existing workflows
- Build — Production-grade AI tooling is deployed directly to your systems weekly
- Iterate — Weekly demos, async Slack updates, and continuous improvement based on your team's feedback
What You Get
- Monthly rolling subscription — cancel anytime
- Dedicated AI engineer embedded with your ops team
- Full IP ownership — all code ships directly to you
- Weekly demos, async Slack updates, and a dedicated AI Project Manager
Who This Is For
- Lending operations teams ready to automate but without in-house AI engineering capacity
- Firms that have tried generic AI tools and need custom integration with their existing systems
- COOs and ops leaders who want to see results weekly, not quarterly
- Teams with 3+ manual workflows that should be automated
Who This Is Not For
- Firms looking for a one-time consulting engagement
- Organizations that need a full-time hire rather than a sprint-based model
- Teams not ready to commit engineering access to their systems
What the Engineer Does Weekly
- Ships code to your repo — production-grade commits against your codebase, not a sandbox
- Weekly demo — live walkthrough of every feature shipped that week with your ops team
- Async Slack updates — daily progress and blockers posted to your team channel
- Pipeline monitoring — ongoing tuning of extraction accuracy, alert thresholds, and processing speed
- Integration testing — every deployment validated against your staging environment before production
Integrations We Build
- LOS and CRM population — Salesforce, custom systems, or spreadsheet-based workflows
- Payment processor monitoring — automated reconciliation across multiple processors
- Email-based document intake — AI pipelines that extract, classify, and route inbound documents
- Bank statement extraction — structured data from PDFs into your database or spreadsheets
- Property data API connections — CoStar, county records, and valuation feeds
- Borrowing base certificate automation — collateral reporting generated from live portfolio data
What a 90-Day Engagement Looks Like
- Week 1–2 — Scope your highest-ROI automation target and deploy the first production workflow (48-hour average first deploy)
- Week 3–4 — Iterate based on team feedback and expand to a second workflow
- Month 2 — Integrate with core systems (LOS, CRM, payment processor) and connect data flows end-to-end
- Month 3 — Portfolio monitoring, risk alerts, and reporting dashboards go live. Full operating intelligence layer deployed.
Client Results: Mid-Market Revenue-Based Financing Lender
An 8-person underwriting team was bottlenecked by manual document extraction and spreadsheet-driven workflows. Within 90 days of engagement, we deployed AI-powered document processing, automated stacking risk detection, and a one-click offer system.
- 3x deal capacity — from 50 to 150 deals/month, same team
- Document processing: 60 minutes to 2 minutes with 95%+ accuracy
- 20–30% reduction in loss rates from early stacking detection
- Same-day offers — down from 2–3 business days
“Before Starter Stack, our underwriters were really just expensive data-entry clerks. Now the system does that in seconds, flags the risks automatically, and lets our team focus on the judgment calls that actually require human expertise.” — CEO, Alternative Lending Company
What We Deploy
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