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Phase 02 — AI Implementation

Custom AI Agents Built for How Your Business Actually Runs

We design, build, and deploy AI automation that connects to your existing systems, handles routine work, and routes exceptions to your team. Every agent is measured against the KPIs defined in your assessment.

How It Starts

Every implementation begins with a clear plan.

The AI Readiness Assessment creates the roadmap that drives everything we build. It maps your processes, identifies the highest-impact automation opportunities, projects the ROI, and defines the KPI targets each agent will be measured against.

Once we've aligned on priorities, timelines, and KPI targets, we move into implementation.

The Implementation Process

Three sprints from design to production.

Each automation follows a structured sprint cycle. We ship working AI fast, validate it against real data, and iterate until the KPIs are hit.

I.
Weeks 1-2

Sprint 1: Design & Prototype

We architect the AI agent around your specific workflow: the data it consumes, the systems it connects to, the decisions it makes, and the exceptions it escalates. You review a working prototype against sample data before we build the production version.

II.
Weeks 3-4

Sprint 2: Build & Integrate

We build the production agent, integrate it with your systems, and run it against real data in a controlled environment. Your team validates the outputs and we tune accuracy, speed, and exception handling until the agent performs to spec.

III.
Weeks 5-6

Sprint 3: Launch & Validate

The agent goes live in production. We monitor performance against the KPI targets from your roadmap, resolve any edge cases, and confirm the automation is delivering the projected ROI before we hand off to operations.

What We Integrate With

We connect to the systems your business already runs on.

Our AI agents work with your existing tools. No rip-and-replace, no new platforms to learn.

CRM & Sales

Salesforce, HubSpot, Pipedrive, Zoho, custom CRMs

ERP & Accounting

NetSuite, QuickBooks, Sage, Xero, SAP Business One

Document Management

SharePoint, Google Drive, Dropbox, Box, DocuSign

Communication

Outlook, Gmail, Slack, Teams, Twilio

Data & Databases

SQL Server, PostgreSQL, MongoDB, Snowflake, BigQuery

Industry-Specific

AMS, TMS, EHR/EMR, PMS, LOS, and custom platforms

Deliverables

What you get at each milestone.

Every sprint ends with a tangible deliverable your team can evaluate.

Working Prototype

A functional AI agent running against your sample data. You can see what it does, how it makes decisions, and where it escalates.

Integration Documentation

Complete technical documentation of every system connection, data flow, and API integration the agent uses.

KPI Validation Report

Performance data showing the agent's accuracy, speed, and cost metrics against the targets defined in your roadmap.

Production Handoff Package

Everything your operations team needs: runbooks, monitoring dashboards, escalation procedures, and optimization playbook.

Built for Trust

How we address what concerns you most.

Security

Your data never leaves your infrastructure unless you want it to. We deploy within your cloud environment, encrypt data in transit and at rest, and follow your existing security policies. Every integration is audited and documented.

Accuracy

AI agents are validated against your real data before they go live. We define accuracy thresholds during design, test against edge cases during build, and monitor continuously in production. When the agent encounters something it can't handle with confidence, it escalates to your team with full context.

Control

You own the AI: the code, the data, and the IP. We don't lock you into a proprietary platform. Every agent includes human-in-the-loop controls so your team stays in charge of decisions that matter. If we part ways, you keep everything.

How We Engage

From assessment to operations, AI built around your business.

Every engagement starts with a defined payback, delivers AI automation in production, and improves continuously against the KPIs that matter to your business.

Is This Right for You

Your team knows the work. We build the AI that does it.

AI implementation is for companies that have completed the assessment and are ready to move from roadmap to production. You've seen the ROI projections, you've aligned on priorities, and now you need an experienced team to build it right, fast, and accountable to the KPIs you've agreed on.

If you haven't done the assessment yet, that's where we start. It's the fastest way to identify where AI will have the biggest impact in your business.

Start with the AI Readiness Assessment

FAQ

Common questions about AI implementation.

Straight answers on how we build, what you own, and how the process works.

Most implementations run 6 weeks from kickoff to production for the first automation. Complex workflows or multi-system integrations may take longer. The timeline is defined in your assessment roadmap, and we commit to it.
No. We integrate with the tools your business already uses. Our agents connect to your CRM, ERP, document management, email, and other systems through APIs and native integrations. There's no rip-and-replace.
Every agent includes human-in-the-loop controls. When the AI encounters something outside its confidence threshold, it escalates to the right person on your team with full context. We define these thresholds during design, and tune them during the build and validation sprints.
You do. The code, the data, the IP, and the documentation are all yours. We don't use proprietary platforms or lock-in. If we part ways, you keep everything.
We deploy within your cloud infrastructure, follow your security policies, and encrypt data in transit and at rest. Every integration is documented and auditable. We can work within SOC 2, HIPAA, and other compliance frameworks your business requires.
We transition to AI Operations: ongoing hosting, monitoring, and optimization against your KPIs. Your team is trained to work alongside the AI, and we handle the technical operations so your staff doesn't need to become AI engineers.
Yes. The assessment creates the roadmap, ROI projections, and KPI targets that the implementation is built against. Without it, we'd be guessing at priorities instead of building against validated data. The assessment takes one week.
Get started

Ready to put AI to work in your business?

Book a call and we'll walk you through the implementation process, answer your questions, and show you what AI automation looks like for your specific operations.