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AI Consulting

AI consulting that ships to production.

Principal-led AI consulting for organizations that need agentic systems, LLM pipelines, and ML platforms in production. Federal-scale fraud detection, governed RAG, and deployable code under one contract.

AI consulting services

Production AI across agentic development, legacy modernization, and ML infrastructure. See also our data science consulting practice for predictive modeling and MLOps.

Autonomous agents & agentic workflows
Legacy code modernization with AI
Full-stack web & API applications
LLM & RAG deployment with guardrails
Fraud detection & risk modeling
MLOps & ML pipeline architecture
Data pipeline engineering (Python & SQL)
Cloud & ML cost optimization (FinOps)
Predictive analytics & forecasting
Postgres/Supabase performance audits
Geospatial analytics & location intelligence (GPS, addresses, trade areas)
Time series forecasting, anomaly detection & metric monitoring
AI biotech applications under NDA

Engagements

Three forms of mandate

Diagnostic audit, production mandate, or principal embed, investment and scope established during a confidential discovery conversation.

I

Diagnostic Audit

Database performance and architecture review. Forty-eight hour delivery.

II

Production Mandate

Scoped AI and data systems. Six to ten weeks to deployment.

III

Principal Embed

Ongoing strategic partnership with the founder embedded in your organization.

The Production Standard

The Production Standard

Six commitments contracted in writing on every engagement.

01

Deploy or redirect

If AI isn't the right tool, we say so in week one and redirect budget to what will ship. No POC theater.

02

Metrics before models

Business KPIs locked in discovery. Model selection follows the metric, not the hype cycle.

03

Governance from day one

Model cards, access controls, evaluation harnesses, and audit trails, not a compliance bolt-on at go-live.

04

Production artifacts

Deployed code, monitoring dashboards, CI/CD pipelines, and incident runbooks. Not recommendations for someone else to implement.

05

6-week production target

Scoped projects designed for production in 6–10 weeks. Boutiques move; global programs wait for steering committees.

06

Capability transfer

Your team can operate, extend, and maintain what we build. IP and documentation transfer is included, not upsold.

Every scoped project includes a production deliverable checklist signed off before close. If we can't commit to deployable output, we won't take the engagement.

Client perspective

PrismBase didn't hand us a slide deck. They shipped a fraud detection pipeline that processes our full transaction volume in real time. We went from months of stalled POCs to production in six weeks.
Director of Data EngineeringFederal Financial Services
Government / FinTech
The DB Optimizer audit found three missing indexes that were killing our API latency. We cut p95 response time by 60% within a week of implementing their recommendations.

VP Engineering

B2B SaaS Platform

Enterprise SaaS

Finally, an AI consultancy that tells you what won't work. They saved us six months by redirecting our LLM initiative toward a simpler retrieval pipeline that actually shipped.

CTO

Growth-Stage Startup

B2B Software

Client names withheld under NDA where required. Read documented outcomes

Drake Talley, Founder and Principal at PrismBase AI

The Principal

Drake TalleyFounder & Principal

Nine years in data, six in production DS/ML/AI—data and ML pipelines in Python and SQL, federal-scale fraud at 10TB+/day, geospatial and time series analytics, biotech R&D under NDA, and governed LLM deployments. Same principal from the first call through production.

  • , Federal fraud detection at 10TB+ daily throughput
  • , Biotech and life-sciences under full NDA
  • , Production Standard contracted in writing on every mandate

AI consulting FAQ

What is AI consulting?

AI consulting helps organizations design, build, and deploy artificial intelligence systems: agentic workflows, LLM applications, ML pipelines, and data platforms. PrismBase focuses on production delivery: deployable code, monitoring, and runbooks your team owns.

How is PrismBase different from other AI consultancies?

Principal-led agentic development across agents, applications, ML systems, and data platforms. You work directly with the founder who architects, codes, and deploys. The Production Standard is contracted in writing: deployable output or we decline the mandate.

How much does AI consulting cost?

Scoped projects start around $15k. Embedded retainer partnerships from $25k/month. We provide transparent pricing after discovery, with no surprise SOWs.

What's the fastest way to start?

Book a free 30-minute discovery call, or start with our DB Optimizer audit ($2,500), a 48-hour read-only Postgres/Supabase audit with prioritized fixes. Both paths lead to actionable next steps within days.

Do you work with small and mid-size businesses?

Yes. We work with B2B SaaS, growth-stage startups, and enterprise teams. For smaller local and regional businesses, we offer fixed-scope AI packages—internal knowledge search, lead intake automation, and automated reporting—delivered in 2–5 days. See our small business packages page for details.

Book your free call

30 minutes. No pitch deck. Honest assessment of fit.

Free 30-min call · No obligation · or send a message instead

Stop prototyping. Start shipping.

Every week without production AI is a week your competitors pull ahead. Let's talk about what's possible for your business.

Get started today