Deed Labs builds production‑grade AI agents and automations for fintech startups — designed, engineered and operated by a dedicated senior team.
Illustrative example of the kind of workflows we build. Pick an agent to replay.
We design, build and run AI agents that read, decide and act inside your product and operations — with the guardrails regulated startups need.
Autonomous and semi‑autonomous agents that use tools, call your APIs, reason over your data and hand off to humans when it matters. Built on proven frameworks, evaluated before every release, and deployed to your cloud.
KYC/KYB review, reconciliation, underwriting assistants, fraud triage and support agents that respect audit trails.
AI tutors, grading and feedback assistants, adaptive learning paths and admissions or enrolment automation.
Patient intake, prior‑auth and RCM automation, clinical documentation and care‑navigation agents — PHI kept in your environment.
Shopping assistants, catalog enrichment, order and returns ops, inventory forecasting and support deflection.
Stripe, Plaid, Shopify, Salesforce, HubSpot, Zendesk, EHRs via FHIR, LMS platforms, Slack and your internal APIs.
Golden‑set evaluations, red‑teaming, PII redaction, approval gates and full action logs on every agent.
Monitoring, cost and latency tracking, prompt and model upgrades — we stay on after launch.
Every vertical has its own data, regulators and edge cases. We start from patterns that already work.
Agents that take on the review, matching and investigation work that slows finance and compliance teams — with every decision logged and reviewable.
Matches payouts, bank feeds and ledger entries; explains every exception.
Reads documents, checks watchlists and drafts the analyst’s decision memo.
Scores alerts, gathers evidence and pre‑fills chargeback responses.
Answers account questions from policy and transaction history, escalates the rest.
Tutors and teaching assistants that adapt to each learner while keeping instructors in control of content and grading.
Socratic, curriculum‑aligned help that guides instead of giving answers away.
Rubric‑based scoring and written feedback drafts for instructor approval.
Spots concept gaps and assembles practice sets per learner.
Qualifies applicants, answers questions and books counsellor calls.
Automation for the paperwork around care — intake, documentation, authorisations and billing — with clinicians signing off on what matters.
Structures intake forms and routes patients to the right care path.
Checks payer rules and pre‑fills authorisation packets for review.
Drafts notes and summaries from visit transcripts for clinician sign‑off.
Codes claims, spots denial risk and drafts appeals.
Automations across the storefront and back office that lift conversion and take repetitive ops off your team’s plate.
Conversational product discovery grounded in your live catalog.
Writes titles, descriptions, attributes and SEO metadata at scale.
Handles WISMO, exchanges and refunds within your policy.
Forecasts demand, drafts POs and flags margin leaks.
A simple, transparent path from first call to an agent in production.
Map the workflow, data and risks. Agree on the success metric.
Week 1A working agent on real data, with an eval set to prove it.
Weeks 2–3Guardrails, integrations, monitoring and a human review loop.
Weeks 4–6Ongoing tuning, new agents and new workflows each month.
OngoingA dedicated AI engineering team on a predictable retainer. Scale up or down as your roadmap changes.
For startups shipping their first production AI agent.
For teams automating several workflows across the business.
For regulated products and AI at the core of the roadmap.
Third‑party costs — model API usage and cloud hosting — are billed at cost or directly to your accounts. Need something custom? Let’s talk.
Answer two quick questions and we’ll suggest a starting point.
You do. Deliverables are assigned to you once the related invoices are paid, and everything lives in your repositories and cloud accounts from day one.
We’re model‑agnostic. We pick per task from Anthropic Claude, OpenAI, Google Gemini and open‑weight models (Llama, Mistral, Qwen), and use frameworks like LangGraph, the Claude Agent SDK or plain code when that’s simpler. We benchmark options on your data before committing.
Most engagements have a working prototype on real data within the first two to three weeks, and a first agent in production within about six weeks, depending on integrations and review requirements.
Yes. We design for HIPAA, SOC 2 and PCI‑DSS controls: data stays in your environment, we use providers that sign BAAs or zero‑retention terms, redact sensitive fields, and log every agent action. We’re happy to sign NDAs and, where applicable, BAAs.
No — they’re separate so you only pay for what you use. Usually they’re billed directly to your own provider accounts; we track and optimise them as part of every plan.
Yes. Upgrade any time; downgrades and cancellations take effect at the end of a 30‑day notice period. See our Terms for details.
Tell us about the workflow you want to automate. We’ll come back within one business day with a plan.
