Fix broken revenue workflows.

I design and build AI agents, automations, and internal tools for marketing and revenue teams, using the systems you already have.

For B2B SaaS teams running Marketo or HubSpot with Salesforce—especially when the marketing or revenue operations team is lean.

Prefer a call? Book 30 minutes

Illustrative workflow. Lead signal, account research, and engagement context feed an AI decision engine. A Human checkpoint governs consequential cases. CRM and Slack receive the approved action.

10+ years building marketing & revenue systems.

System patterns I build.

Each starts with a real operating problem, a defined decision, and a human-readable output. These are illustrative system patterns, not published case studies.

AI Lead Qualification Agent

Prioritizes leads and gives sales a readable qualification recommendation.

Mechanism: Account and engagement signals → fit evaluation → human review → Salesforce recommendation

  • AI Agent
  • Salesforce
  • Lead Management
Account signals flow through AI fit evaluation and human review to a Salesforce recommendation

Marketing Performance Explorer

Gives stakeholders searchable campaign performance without direct marketing-automation access.

Mechanism: Marketo campaign data → normalized metrics → search and filters → stakeholder view

  • Internal Tool
  • Marketo
  • Analytics
Campaign data becomes normalized metrics, searchable filters, and a stakeholder dashboard

AI Campaign QA Agent

Returns issues, warnings, and a launch-readiness decision.

Mechanism: Configuration → validation rules → human review → launch status

  • AI Agent
  • Marketing Ops
  • QA
Campaign configuration passes validation rules and human review before launch approval

Attribution System

Connects campaign engagement to pipeline while preserving historical touchpoints.

Mechanism: Campaign touches → relationship rules → attribution window → pipeline view

  • Salesforce
  • Attribution
  • RevOps
Campaign touchpoints connect through relationship rules and an attribution window to a pipeline view

AI Research + Outreach Pipeline

Prepares account research, relevant signals, and reviewed outreach context.

Mechanism: Account signals → research agent → human review → outreach brief

  • AI Agent
  • Research
  • Sales
Account signals feed an AI research agent, human review, and an outreach brief

Replace the recurring workaround.

Start with the work your team repeats, rebuilds, watches, or carries between systems.

Manual

Manual lead research

Built system

Agent-generated context, fit evaluation, and reasoning.

Manual

Rebuilt weekly report

Built system

Searchable internal performance tool.

Manual

Checklist campaign QA

Built system

Automated configuration validation.

Manual

Field-change watching

Built system

Event-driven routing with context.

Manual

Six disconnected tools

Built system

One workflow that gathers context and acts.

Choose the right build path.

Start with a focused review, a working first version, ongoing operating capacity, or a larger system scope.

Map the opportunity

GTM Workflow Audit

$1,500

One workflow, mapped in a week. You get the current state, prioritized opportunities, an architecture recommendation, the tool and integration path, and a written build plan you own whether or not we work together.

Credited in full toward a Systems Sprint booked within 30 days.

Book a Workflow Audit

Ongoing operating capacity

Fractional Marketing Ops

$6,000 per month

Six to eight hours a week of senior operating capacity. Lead lifecycle, routing and speed to lead, campaign operations, attribution, data quality, and the AI systems that remove the manual parts.

Three-month minimum. One client at a time.

Check Availability

Expand the system

Custom Systems Build

Starting at $15,000

Larger internal applications, multi-agent workflows, complex integrations, and cross-system orchestration.

Discuss a Custom Build

Move from buried work to a usable system.

  1. 01

    Find

    Identify the repeated work, decision, handoff, and current constraints.

  2. 02

    Design

    Define the system boundary, data, human checkpoints, and acceptance criteria.

  3. 03

    Build

    Connect the workflow and produce a working first version for the agreed scope.

  4. 04

    Hand Off

    Document the system, review how it works, and define the next operating step.

Portrait of Kyle Garrett

Hi, I’m Kyle.

I have more than a decade of hands-on experience across marketing, revenue operations, CRM, lifecycle, reporting, and automation. I now focus that operating experience on AI-native replacements for manual work buried inside teams and tools.

10+ years
Building marketing and revenue systems.
Systems depth
Salesforce, Marketo, CRM, lifecycle, attribution, analytics, and automation.
Operating range
Lead management, campaign operations, reporting, data quality, and cross-system workflows.

Show me the workflow you hate doing.

If your team repeatedly copies, checks, researches, routes, reports, or updates something manually, there is a good chance we can build a better system for it.

kyle@village-consulting.com

Describe the workflow

Kyle reviews every request and follows up about fit, scope, timing, and price.

Your request goes directly to Kyle. No mailing list or automated sales sequence.

Prefer email? Write to Kyle directly.