Engagement-Based Service

Deploy production AI across your business — not pilots that stall.

AI infrastructure that runs your operations, not slides explaining what could. From customer service to document processing to operational workflows — built, deployed, monitored, and continuously tuned.

  • Platform-neutral (Claude, GPT, Azure, hybrid)
  • 15+ years building production systems
  • 90+ AI deployments shipped

Building production AI systems for businesses since 2010

90+AI deployments shipped to production
4-12 wksTypical time-to-production
$10M-$200MRevenue range of typical clients
15+Years building production-grade systems

What Production AI Looks Like

Not another pilot. AI infrastructure your operators actually use.

Most "AI initiatives" stall because they picked the wrong use case, lacked production architecture, or had no operator handoff. We build for the opposite outcome — live systems, real workloads, measurable impact.

Use Case Selection That Survives Production

The Diagnostic identifies AI applications that pass the production filter — high impact, technically feasible with your data, with a clear path to operator handoff.

  • 20-40 candidate use cases inventoried per engagement
  • Impact × feasibility × time-to-value scoring
  • Recommended sequence with realistic build estimates

Production-Grade Architecture

LLM orchestration, RAG retrieval over your proprietary data, monitoring, fallback logic, and governance — built for real workloads. Platform-neutral: Claude, GPT, Azure OpenAI, Gemini, or hybrid, selected for your compliance posture.

  • Production-deployed AI, not pilots or demos
  • Full audit trail linking outputs to source documents
  • Suitable for SOC 2, HIPAA, and industry-specific compliance

Operational Continuity

Documented runbooks. Accuracy monitoring. Drift detection. Escalation procedures. The AI runs as a reliable operational system, not a science project.

  • Continuous monitoring with drift alerts
  • Documented operator playbooks
  • 90-day post-launch tuning included

Engagement Options

Three ways to engage. One coherent ladder.

The Diagnostic is the formal qualification step for Transformation or Managed Operations — we do not propose a multi-quarter engagement without it.

Tier 1 · Start here

Production AI Diagnostic

$7,500

Fixed fee. One-time payment.

3 weeks

From kickoff to deliverable

A structured assessment of where AI delivers the most leverage in your business, scored on impact, feasibility, and timeline.

What is included

  • Business-wide AI opportunity inventory

    20-40 candidate use cases across operations, sales, support, finance, marketing, and back office.

  • Use case prioritization scoring

    Impact × feasibility × time-to-value, mapped to your specific business.

  • Production AI readiness assessment

    Data quality, integration maturity, team fluency, governance, compliance landscape.

  • Written roadmap

    12-15 pages: current state, opportunity inventory, recommended sequence, target architecture sketch.

  • Tier 2 proposal (when applicable)

    If Transformation is the right next step, you receive a tailored fixed-scope proposal alongside the deliverable.

Best for

Businesses $10M-$200M revenue under pressure to deploy AI but unsure where to start, or with stalled pilots that need a strategic reset.

Begin Diagnostic intake

Tier 2 · Multi-quarter build

Production AI Transformation

Engagement-scoped

Tailored pricing presented in your Statement of Work after the Diagnostic.

12-16 weeks

Typical range. Scope-dependent.

A full production deployment of 1-3 AI use cases selected during the Diagnostic. Every Transformation begins with the Diagnostic.

What is included

  • Production AI deployment

    1-3 prioritized use cases — document processing, customer service AI, sales ops, RAG-over-internal-data, workflow automation.

  • Custom AI agents

    Tailored to specific operational roles, integrated into the systems your team already uses.

  • Systems integration

    CRM, ERP, support platform, data warehouse — wherever the AI needs to read from and write to.

  • AI governance framework

    Audit logging, monitoring, escalation procedures suitable for SOC 2 and compliance review.

  • Operational handoff + 90-day support

    Your team learns to run, monitor, and tune the deployed systems. Post-launch tuning included.

Best for

Businesses ready to invest in real AI infrastructure, not another pilot. Post-Series-B/C, PE-backed mid-market, service businesses facing margin pressure, ops-heavy companies hitting scaling ceilings.

Discuss a Transformation engagement

Tier 3 · Transformation + ongoing operations

Production AI Transformation + Managed Operations

Engagement-scoped + retainer

Build cost plus monthly retainer. Tailored at SOW.

12-16 weeks build + ongoing

Build identical to Tier 2. Operations continuous.

Tier 2 build followed by our team operating the deployed AI systems on your behalf. Your team focuses on strategy; ours runs the operational machine.

What is included

  • Everything in Tier 2

    Same build, same architecture, same governance.

  • Continuous monitoring

    Accuracy tracking, exception handling, drift detection on every deployed system.

  • Continuous tuning

    As your data and business evolve, the AI tunes with them.

  • Quarterly ROI reviews + use case discovery

    Measured impact, expansion recommendations, retirement of underperformers. New use cases proposed; you decide what ships.

  • Operational escalation handling

    When an AI system needs human escalation, we manage routing and resolution.

Best for

Businesses that want production AI outcomes without staffing a Head of AI plus ML engineers. Common for post-Series-B/C and PE portfolio companies.

Discuss Managed Operations

The Diagnostic is the qualifying step for Tier 2 or Tier 3. The scoping work it produces is what makes the proposal accurate, and it gives both sides a structured way to confirm fit.

Reference Engagement

Luxury real estate practice — manual MLS research eliminated, qualified appointments up nearly 40%.

Industry

Real estate — luxury residential

Practice

Top-producing agent / regional brokerage

Engagement type

Production AI Transformation (Tier 2 — 10 weeks)

Year

2025

The Challenge

A top-producing luxury agent was burning 15+ hours per week manually researching expired MLS listings — pulling property records, skip-tracing owners, drafting outreach. By the time outreach started, competing agents had already worked the same leads. As the agent put it: "I am losing deals I should be winning because I cannot move fast enough on the data side."

Our Approach

  • 1n8n workflow triggered by daily MLS email feeds — property and owner details parsed automatically
  • 2Three-API parallel enrichment: Reonomy (skip-trace + LLC look-through), RPR (MLS history, prior list price, DOM), ATTOM (parcel, taxes, mortgage)
  • 3Contact verification through ZeroBounce + Hunter.io before any outreach fires — protects sender reputation
  • 4Records pushed into Follow Up Boss with auto-applied "Expired Luxury" tag, dynamic agent routing, full lead source tracking
  • 5Tag triggers three-channel campaign: 8-week email drip, 5-touch call cadence, SMS sequence via Twilio, plus video mail and Facebook Custom Audience retargeting
  • 6Conditional logic across all channels — any lead response pauses the full campaign and routes to the agent

Outcomes

15 hrs → 0 hrs / wk

Manual lead research time

Agent's research workload eliminated. Hours redirected to listing appointments and client work.

4× faster

Time from listing expiration to first outreach

First touch lands the same day instead of 3-4 days later.

+38%

Qualified appointments booked per month

Speed-to-contact advantage compounded with verified enrichment data.

12 closings

Deals attributable to the system in the first 90 days

Tracked through Follow Up Boss lead source attribution.

I was the bottleneck in my own pipeline. The system runs while I sleep, and by the time I am at my desk, the qualified leads are already in my calendar.

Top-producing luxury real estate agent

Engagement Range

Different industry. Same production AI discipline.

Production AI work spans verticals. The architecture decisions change; the operational rigor does not.

E-commerce — regulated categories

Production deployment

Outcome

Sellers move from finding out about recalls via marketplace suspension to acting on them ahead of platform enforcement.

Recall monitoring — public regulatory feeds matched against active product catalogs, before the marketplace acts.

A daily-running workflow reads active product catalogs from Amazon SP-API and Shopify, scrapes recall feeds from FDA, CPSC, and Health Canada, and uses LLM-based fuzzy matching to resolve product identifiers across inconsistent formats — UPC in one feed, ASIN in another, brand-and-model in a third. Flagged listings trigger SMS + email + dashboard alerts with affected batch numbers, severity, and regulatory deadlines. Auto-pause logic protects seller accounts before marketplace enforcement.

How We Work

Engagements run on a structured methodology, not on heroics.

Every engagement — Diagnostic, Transformation, or Managed Operations — runs the same backbone. Scope precisely, build methodically, document rigorously.

01

Week 0

Scoping

A structured questionnaire (~20 minutes) captures your business context and current AI initiatives. Discovery call confirms scope; written proposal delivered within 2 business days.

02

Weeks 1-3 (Tier 2) / Built into deliverable (Diagnostic)

Use Case Selection

Use case inventory, scoring, and target architecture documented before build begins. Your team reviews and approves selections.

03

Weeks 4-12 (Tier 2)

Build

Production AI deployment with weekly working sessions. Incremental delivery — components ship as they are built, not waterfall.

04

Weeks 13-16 (Tier 2)

Operational Handoff

Your team operates the deployed AI with our oversight. Runbooks, training, monitoring dashboards delivered; 90-day post-launch tuning included.

05

Ongoing

Managed Operations (Tier 3 only)

Our team operates the AI infrastructure end-to-end. Continuous monitoring, tuning, exception routing; quarterly business reviews surface new use cases.

Frequently Asked Questions

The questions we hear most often.

Production AI deployments vary substantially in scope. Customer service AI for a 200-seat support team is fundamentally different from a multi-system document processing pipeline. Pricing the Diagnostic publicly tells you exactly what to expect for that engagement. Pricing Tier 2 and Tier 3 publicly would mean either inflating estimates to cover worst-case scope or underpricing them and discovering issues mid-build. The Diagnostic produces the structured scoping that makes the Tier 2 proposal accurate.

Have a question we have not covered? Reach out at hello@bestpracticify.co or start with the Diagnostic intake — most questions are easier to answer in context.

Ready to begin?

Start with the Diagnostic.

A 3-week structured assessment of your business and AI readiness. Fixed fee, fixed scope, written deliverable. If a multi-quarter Transformation is the right next step, we deliver the proposal alongside the Diagnostic deliverable.

Begin Diagnostic intake

Not sure which engagement fits? Begin with the Diagnostic — it is the qualifying step for Tier 2 and Tier 3, so no time is wasted either way.