AI Where It Measurably Pays — Nowhere It Doesn’t.
Samford Labs builds AI-empowered workflows — document classification, data extraction, voice-to-CRM capture, and confidence-routed pipelines — only where AI demonstrably beats the simpler alternative. Every pipeline ships with PII redaction, quality gates, and cost controls, and every engagement is fixed-scope from $5,000.
What does AI-Empowered Workflows include?
Document classification and extraction with confidence-based routing
Voice and call data turned into structured records
Cost-optimized pipelines — model spend engineered down as part of the build
PII redaction, audit trails, and quality gates standard
How does a fixed-scope engagement work?
Every engagement follows the same four steps: a free assessment that maps your workflow, a fixed-scope proposal with a defined deliverable and price, a collaborative build where you see working software early and often, and a documented handover your team owns outright. Scope changes are re-approved before they cost anything.
How much does it cost?
Engagements start at $5,000, with no upper cap — the ceiling is your scope, not our menu. At the floor, that’s one document-processing or extraction pipeline — classification, confidence routing, human-review queue, and cost controls, in production. Timelines are stated honestly in the proposal: weeks, not quarters, for the typical engagement.
What have you actually built?
Shipped systems, in production — some for clients, some products of our own. See all past work.
Built and run in-house
Talk2CRM
Mobile app that turns sales calls into CRM records. AI extracts contacts, deal values, and commitments from the call so reps stop typing afterward — with two-layer PII redaction before anything is processed. In beta now.
95%+ less post-call CRM entry
Built and run in-house
Auto-Heal
Autonomous code-repair platform: 24/7 monitoring, root-cause investigation, and verified fixes delivered as reviewable pull requests. Edge cases escalate to a human with full context. In development.
Verified fixes as reviewable PRs
For a national professional-services firm
File & Report Tool
AI document classification against 15+ type definitions, assembling compliance-ready reports. A four-hour manual workflow now runs in about five minutes, with roughly 90% fewer categorization errors.
4-hour workflow → ~5 minutes
From the library
How we think about this work — written by the person who’ll be on your project.
Common questions about AI-Empowered Workflows
How much does an AI workflow cost to build?
One document-processing or extraction pipeline starts at $5,000 — classification, confidence routing, a human-review queue, and cost controls, in production. Ongoing model costs are engineered down as part of the build, not left to surprise you on the first invoice.
How do you keep AI from making costly mistakes?
Confidence-based routing: the pipeline handles what it’s sure about and routes everything else to a human queue. Every decision is logged, quality gates run continuously, and accuracy is measured against your data before anything goes live.
Is our data safe in an AI pipeline?
Yes — PII redaction runs before anything reaches a model, and audit trails record every processing step. Sensitive fields are stripped or tokenized structurally, which is how we’ve shipped AI pipelines in compliance-sensitive environments.
Do we actually need AI, or just automation?
Often just automation — and we’ll tell you which in the assessment. Every AI component is evaluated against a simpler alternative and only ships if it demonstrably outperforms. AI where it measurably pays; nowhere it doesn’t.
Start With the Free Assessment
Tell us what’s slowing your team down. Within one business day you’ll hear back, and the written roadmap is yours whether or not we ever work together.