Custom AI Agents · Trained On Your Business Data

Not chatbots.
Production-grade agents.

Custom AI Agents purpose-built for your specific workflows — trained on your Business DNA, deployed to production in 4–8 weeks, and operated against verified enterprise-grade pipelines. Sales agents, research agents, compliance agents, success agents. The work behind the work, finally automated by something that actually understands your business.

4–8 weeks to productionBuilt on AIXF Agent FleetTrained on your data

4–8
Weeks to Production
100%
Trained on Your Data
8+
Agent Types Deployable
$1.2B
Of Operator Experience Behind It
Why Now

The agent market is loud.
The agents that actually work are quiet.

Every B2B technology company is being told to "deploy AI agents." Most of what's being deployed are chatbots dressed in agent vocabulary. We build the other kind.

Three things separate real agents from theater.

One — they're trained on your business, not the open internet. Generic AI agents paraphrase from public training data. They don't know your customers, your value prop, your won deals, your voice, or your competitive context. The agent that actually performs in production is the one calibrated to your specific Business DNA before it's ever pointed at a workflow.

Two — they're built on a verified pipeline, not a single LLM call. Production-grade agents run multiple coordinated stages: research, intelligence gathering, fact-checking against live sources, synthesis, and structured output. Single-shot LLM agents hallucinate confidently. Multi-stage verified agents fail safely and surface only what's been validated.

Three — they're scoped to a specific job, not "general AI assistance." The agents that ship and stay shipped are the ones with a clear-bordered responsibility — the Sales Intelligence Agent, the Compliance Review Agent, the Customer Success Agent. Vague generalist agents try to do everything and end up doing nothing well.

How We Build Them

The methodology behind real agents.

Five disciplines, applied in sequence, that separate production-grade agents from demo-grade prototypes. Every AIXF agent is built this way.

01

Business DNA Calibration

We ingest your business identity first — website, decks, case studies, value propositions, buyer personas, won-deal patterns, and voice samples. The agent learns your business before it touches a workflow. This is the layer competitors can't replicate, because they don't have your wins.

02

Multi-Stage Pipeline Architecture

Every agent runs through a coordinated pipeline — grounding research, intelligence gathering, fact-checking against live sources, synthesis, and structured output. Each stage validates the previous one. Unverifiable claims are flagged and removed. Single-shot LLM calls are forbidden in production.

03

Workflow-Specific Scoping

Agents are scoped to specific responsibilities, not "general AI assistance." A Sales Intelligence Agent does sales intelligence. A Compliance Review Agent does compliance review. Bounded scope is what makes agents reliable and what makes their failures recoverable.

04

Integration With Your Stack

Agents connect to the systems your team already runs in — your CRM, your email, your collaboration tools, your data warehouse. Native HubSpot and Salesforce sync, Slack and Teams integration, Zapier for 7,000+ tools, and custom connectors for proprietary systems through the AIXF Agent Fleet.

05

Production Operations & Care

Deployment is not the end of the engagement. Production agents need monitoring, tuning, and care as your business evolves. Every AIXF agent ships with operational support, performance instrumentation, and a feedback loop that improves the agent over time.

Implementation Timeline

From kickoff to production —
four to eight weeks.

Most custom AI projects take six months and never reach production. AIXF agents reach production in 4–8 weeks because the foundation is already built. You're configuring the AIXF Agent Fleet to your business — not building agents from zero.

Week 1

Discovery & Scope

Use case definition, agent type selection, success criteria, integration scoping, Business DNA inventory.

Weeks 2–3

Calibration & Build

Business DNA training, pipeline configuration, integration wiring, initial agent assembly on the AIXF Agent Fleet.

Weeks 4–6

Validation & Tuning

Output testing against your actual workflows, fact-checking calibration, voice tuning, edge-case handling, security review.

Weeks 7–8

Production & Care

Deployment to production, team training, monitoring activation, ongoing support engagement begins.

Single-agent engagements typically complete in 4–6 weeks. Multi-agent suites and regulated-industry deployments take 6–8. Specific timeline confirmed during discovery.

What You Receive

A production agent.
Not a proof of concept.

Every Custom AI Agent engagement delivers a production-grade system with the documentation, support, and operational infrastructure that real production work requires.

01

The Agent Itself

A fully configured, production-deployed agent running on the AIXF Agent Fleet, calibrated to your Business DNA, integrated with your stack.

02

Architecture Documentation

Complete technical documentation of how the agent is configured, what it reads, what it writes, and how it fails safely.

03

Business DNA Profile

The structured representation of your business that calibrates the agent — owned by you, exportable, the foundation of every future agent.

04

Integration Connectors

Live connections to your CRM, email, collaboration tools, and data warehouse. Configured, tested, and operating in production.

05

Team Training

Working sessions with your team — how to interact with the agent, how to interpret its output, how to flag issues, when to override.

06

Ongoing Operational Care

Monitoring, performance instrumentation, periodic tuning, and a feedback loop. Your agent improves with use, not degrades.

Why AIXF

What separates an AIXF agent
from every other agent on the market.

Difference 01

Built on a tested foundation

You're not paying for an 18-month R&D project. The AIXF Agent Fleet — the underlying multi-stage pipeline architecture — has been operationally hardened across the AIXF service portfolio for years. Your custom agent inherits that foundation.

Difference 02

Senior-only delivery

Discovery is with Rick. Architecture is by senior AIXF engineers. Build is by people who have shipped production AI systems. No junior implementers, no offshored execution, no consulting-firm pyramid.

Difference 03

Methodology-grounded

Custom AI Agents at AIXF sit inside the Precision Revenue Framework. The agent isn't a technical artifact disconnected from strategy — it's an execution layer that fits a coherent revenue motion.

How this connects to the rest of AIXF.

Every Custom AI Agent runs on the AIXF Agent Fleet — the underlying engineering substrate that also powers ABM Intelligence, Matchmaking, and AI TechRev. The Fleet is the engine. The managed services are productized configurations of it. Custom AI Agents are the bespoke configurations — built for use cases that don't fit a productized service shape, but benefit from the same architectural foundation.

Who This Is For

Built for organizations
that need real production.

"
Production-grade agents
aren't built. They're trained.
The AIXF Custom AI Operating Principle
Build Your Agent

Stop deploying chatbots.
Build agents that work.

Every Custom AI Agent engagement starts with a 30-minute discovery call. Rick walks through your use case, scopes the right agent (or agents), and tells you honestly whether AIXF is the right fit. No deck, no pitch — just a fit conversation.