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Fragmented agency inputs moving through a supervised AI orchestration layer into coordinated outputs.

AI OPERATIONS FOR ESTABLISHED B2B DEMAND GENERATION AGENCIES

The agencies taking your clients aren’t better. They’re built differently.

Your expertise is not outdated. The operating system surrounding it is. Avaunt installs the AI-enabled workflows, governance, and operating rhythms that turn proven agency knowledge into faster delivery, stronger margins, and greater capacity, while preserving the judgment your clients hired you for.

Build Your Agency’s AI AdvantageSee How the System Works

Strategy · Workflow redesign · Implementation · Governance · Team adoption

5.0 | Verified client feedback

Trusted to turn complex needs into practical results.

“Several things immediately set Avaunt apart: the quick application of its expertise to our specific needs, proactive project management, and delivery of high-quality, sophisticated materials and easy-to-implement processes. Avaunt quickly grasped the nuances of our market, generated strong original ideas, and coached us on a more effective sales approach that greatly improved our presentation.”

“Avaunt quickly applied its expertise to our specific needs, proactively managed the project, and delivered sophisticated materials and easy-to-implement processes.”

- JayFounder, B2B healthcare and education technology company

“Avaunt went above and beyond, made every adjustment we needed, and communicated every step of the way.”

- Verified clientCRM and automation engagement

“Super quick with responses and very detailed in explaining things. I would highly recommend Avaunt and plan on working with the team again.”

- Verified clientBusiness systems engagement

Organizations our founder has worked with include

  • Microsoft logo
  • Amazon logo
  • Costco logo
  • Starbucks logo
  • Kohler logo
  • Walmart logo
Presented as founder experience, not Avaunt AI Operations client proof.

CASE STUDIES

AI operations that have already moved real work.

Examples from the technical development partners supporting Avaunt's implementation capability.

B2B marketing agency partner

Multi-channel AI agent system with CRM integration

200+ appointments processed in the first three weeks

A production SMS system with automated lead qualification, appointment-booking logic, workflow routing, and bidirectional CRM synchronization.

  • Lead qualification
  • Appointment booking
  • CRM synchronization
  • Production SMS infrastructure
Consulting company

Lead reactivation system with intent scoring

An automated reactivation pipeline using intent classification, dynamic response logic, calendar integration, and high-volume contact-database processing.

  • Database reactivation
  • Intent classification
  • Dynamic response logic
  • Calendar integration
AI services company

Hybrid voice and SMS agent infrastructure

A dual-channel AI system with intelligent routing, qualification workflows, real-time human handoff protocols, and integration with the existing telephony and CRM stack.

  • Voice and SMS
  • Intelligent routing
  • Human handoff
  • CRM and telephony integration
Marketing agency partner

End-to-end automation pipeline architecture

A multi-touch nurture and qualification system using trigger-based workflows, lead scoring, automated qualification, and an architecture designed for reliability and long-term scalability.

  • Multi-touch nurture
  • Trigger-based workflows
  • Lead scoring
  • Automated qualification

Implementation experience from Avaunt's technical development partners.

THE OPERATING ADVANTAGE IS ALREADY VISIBLE

10-30%

Reported revenue growth

Through hyperpersonalization and always-on campaign execution

Needs final external citation
10-15x

Faster campaign creation

Through accelerated ideation, vetting, testing, and optimization loops

Needs final external citation
47%

Higher reported productivity

Among AI users in marketing-adjacent workflow automation contexts

Needs final external citation
Up to 25%

Lower campaign costs

Reported by companies using automated marketing operations

Needs final external citation

Reported KPIs from marketing agencies after AI ops transformation. Outcomes vary based on the workflow, baseline, implementation quality, adoption, and operating context.

Source citations should be confirmed before public launch.

THE NEW OPERATING REALITY

The agency model changed.Did yours?

AI-native competitors are redesigning how leads are qualified, campaigns are created, knowledge is shared, reports are assembled, decisions are routed, and clients are served.

Adding AI to an operating model built for another era usually produces more tools, inconsistent experiments, and additional complexity without creating operating leverage.

The advantage comes from redesigning the system around the expertise you already have.

The Avaunt transformation path
Current operating model

Stuck in the previous era

Target operating model

Built for the AI-enabled era

Agency knowledge

Stuck in the previous era

Critical knowledge remains in individual employees, inboxes, documents, and meeting history.

Built for the AI-enabled era

Knowledge is structured, retrievable, reusable, and available inside the workflow where decisions are made.

Workflow handoffs

Stuck in the previous era

Context is manually copied between meetings, email, CRM, reporting, and project-management tools.

Built for the AI-enabled era

Context moves across systems automatically, with clear ownership and human-review checkpoints.

Campaign execution

Stuck in the previous era

Research, creation, review, testing, and optimization move through slow sequential batches.

Built for the AI-enabled era

AI accelerates preparation and iteration while strategists retain control of positioning, judgment, and approval.

Client reporting

Stuck in the previous era

Account teams spend hours collecting information before they can begin interpreting it.

Built for the AI-enabled era

The system assembles a reviewable narrative, surfaces anomalies, and leaves the team more time for strategic interpretation.

Capacity

Stuck in the previous era

More clients create more coordination, reporting, and administrative work, and eventually require more headcount.

Built for the AI-enabled era

Well-designed workflows allow capacity and consistency to increase without overhead rising at the same rate.

AI adoption

Stuck in the previous era

AI use depends on individual initiative, personal prompts, and disconnected experiments.

Built for the AI-enabled era

AI is implemented through shared workflows, governance, training, review rules, and measurable operating outcomes.

Avaunt helps established agencies cross that gap without dismantling the expertise, relationships, and judgment that made them successful.

THE OPERATING GAP

Most agencies already have access to AI tools. The harder challenge is redesigning the operating model around them.

When individual teams adopt disconnected tools, the agency gains activity without gaining leverage. Reporting, handoffs, quality control, follow-up, and institutional knowledge still depend on manual coordination.

Avaunt redesigns these workflows as a connected operating system with clear ownership, review rules, and measurable outcomes.

  • Connected workflow ownership
  • Visible human-review rules
  • Shared operational measurement

Reporting without interpretation

Dashboards collect data, but account teams still spend hours assembling context, writing narratives, preparing QBRs, and chasing next actions.

Follow-up without a system

Meetings generate notes, decisions, tasks, CRM updates, risks, and opportunities, then scatter them across tools and owners.

Growth without operating leverage

As client volume rises, coordination, quality control, and administrative work expand with it, constraining margin and consuming leadership attention.

FROM THE LEVERAGE PROJECT

Researching how established agencies are rebuilding for the AI era.

The Leverage Project is Avaunt's independent research and executive interview initiative exploring how AI, operational excellence, organizational change, and leadership are reshaping growth and the future of work.

Explore The Leverage Project
The Changing Agency Operating Model: From Labor to Leverage infographicOpen full-resolution graphic
The graphic shows meetings, data, and agency knowledge moving through workflow rules, AI assistance, and human review to produce insights, quality assurance, and operational visibility. It compares the previous agency operating model with an AI-enabled model across knowledge, client reporting, and capacity.

The greatest leverage comes from redesigning the workflows where coordination, repetition, and delay consume the most capacity.

Avaunt identifies where supervised AI can remove friction, where human judgment creates value, and how the two should operate together. The resulting system is understandable, trustworthy, and designed to improve over time.

OPERATING LEVERAGE

Build capacity that compounds.

A better operating system for client delivery turns existing technology into durable capacity.

More delivery capacity

Reduce repetitive administration so account and strategy teams can spend more time interpreting, advising, and improving client outcomes.

Faster, cleaner execution

Connect meetings, CRM, project management, reporting, and knowledge so information moves without constant manual handoffs.

Greater consistency and visibility

Create review rules, documentation, quality checks, and ownership signals that make delivery easier to manage and improve.

Internal capability that lasts

Train the team, define governance, and transfer knowledge so the system becomes part of how the agency works, not another abandoned tool.

Editorial visualization of Jeremy Richards presenting an AI-enabled agency operating model to a business audience.

THE AGENCY LEVERAGE SPRINT

Move from isolated experiments to live operating workflows.

A focused transformation engagement for one high-friction workflow family. Together, we diagnose the operating bottleneck, redesign the future-state process, implement up to three connected workflows, activate the team around clear governance and measurement, and establish the roadmap for continued improvement.

  • Workflow diagnosis
  • Operational redesign
  • AI implementation
  • Human-review rules
  • Team adoption
  • Ongoing measurement
Discuss the Agency Leverage Sprint

The working format is a 90-day engagement and can be narrowed for a focused pilot.

  1. 01

    Diagnose and prioritize

    Map the current workflow, identify the real administrative burden, establish a baseline, and choose the highest-value transformation opportunity.

    Current-state workflow map
  2. 02

    Redesign and implement

    Define the future-state workflow, connect the relevant tools, configure supervised AI and automations, and build clear human-review and exception paths.

    Future-state orchestration diagram
  3. 03

    Activate and measure

    Launch in real operating conditions, train the team, document ownership, track adoption, and establish the next improvement roadmap.

    Adoption and KPI scorecard

ONGOING AI OPERATIONS PARTNERSHIP

The sprint installs the foundation. The partnership builds on it.

After the initial workflows go live, Avaunt can remain embedded as your fractional AI operations function. Each month, we review performance, prioritize the next operating constraint, implement improvements, strengthen adoption and governance, and build internal capability.

  1. Performance and priorities

    Review adoption, outcomes, bottlenecks, and the implementation roadmap.

  2. Workflow redesign

    Select and redesign the next high-value operating workflow.

  3. Build and launch

    Implement, test, document, and deploy the next improvement.

  4. Enable and measure

    Train the team, clarify ownership, measure impact, and improve the system.

The result is an operating system that becomes more capable over time.

WHAT WE TRANSFORM

Start where operational friction is already visible.

Avaunt selects an initial workflow where operational friction is visible, the business impact can be measured, and the team can build confidence through live use.

Client reporting

Turn data collection into a reviewable insight narrative.

More time for strategic interpretation

Meeting follow-up

Move decisions, ownership, deadlines, and CRM updates into one coordinated flow.

Clear accountability after every meeting

Campaign production

Accelerate research, briefing, creation, review, and quality assurance.

Faster cycles with strategist control

Client onboarding

Structure account knowledge and reduce repeated information gathering.

A cleaner, more consistent launch

Internal knowledge

Make procedures, context, and prior decisions retrievable inside daily workflows.

Less dependence on individual memory

WHY AVAUNT

AI adoption succeeds as an operating change.

Avaunt combines the discipline of an embedded AI operations function with the flexibility of an external partner. We connect technical implementation with adoption, governance, documentation, and measurement so each improvement becomes part of how the agency operates.

Strategy and prioritization -> Workflow redesign -> Implementation -> Governance -> Training -> Measurement -> Continuous improvement

Supervised AI, by design.

AI prepares, organizes, routes, drafts, and surfaces. People approve, interpret, decide, and manage exceptions. Every high-stakes workflow should make that boundary visible.

Avaunt selects the right operating architecture for each workflow, from supervised AI and deterministic automation to managed agents and secure, client-specific infrastructure.

PRACTICAL TRANSFORMATION LEADERSHIP

Enterprise transformation discipline, adapted for founder-led agencies.

Avaunt is led by Jeremy Richards, a program and transformation leader with 14+ years of experience across Amazon, Microsoft, Kohler, consulting, and entrepreneurial work. His background spans AI enablement, workflow transformation, organizational adoption, executive communication, capability building, and hands-on implementation.

That combination matters because lasting AI adoption requires more than technical fluency. It requires a clear operating problem, aligned leaders, usable systems, documented processes, and a team that understands how the new way of working improves its work.

  • 14+ years in program and transformation leadership
  • Experience across Amazon, Microsoft, Kohler, and consulting
  • AI enablement, organizational change, training, and workflow implementation
Learn about Jeremy and Avaunt

Find the workflow that should change first.

In an initial strategy conversation, we will identify where administrative load, handoffs, inconsistent follow-through, or fragmented knowledge are constraining delivery. We will define the best starting workflow, the first measurable outcome, and whether a focused sprint or ongoing AI Operations Partnership is the right next step.

Book a free strategy call

We begin with the operating problem and build from there.