Algomarketing · AI Enablement

You bought the AI. But have your team's workflows transformed?

We embed AI Enablers in your marketing teams to identify your highest-leverage workflows, co-build new ones with AI, upskill every marketer, and leave them self-sufficient enough to build on their own.

Teams we've worked with typically achieve
0h+
Saved per month
0%
Agency cost reduction
0.0x
Faster throughput
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Self-sufficiency
Trusted inside
+ 40 other enterprise marketing teams
Book a discovery call → See the work
The diagnostic

Four reasons AI transformation stalls in marketing teams.

We've been inside 47 enterprise marketing organisations in the last three years. Every stalled transformation has at least two of these four root causes. Most have all four.

Reason 01

Licences arrived. Behaviour didn't.

Procurement is 10x faster than pedagogy. The tools land in month one, but the muscle memory of how marketing teams actually operate was built over years. Without deliberate workflow reconstruction, people keep doing yesterday's job with today's licences.

Reason 02

Central pilots. No daily adoption.

Your innovation team, AI council, or centre of excellence ships impressive demos. One enthusiastic PM builds a prototype that wins the all-hands. But none of it changes how your marketers actually operate. Central brilliance. Distributed manual work. The demo wins. The day-job doesn't.

Reason 03

Strategy divorced from execution.

A consultancy writes a 90-slide AI roadmap. It recommends everything and commits to nothing. Nobody on the strategy team knows how to actually ship an AI workflow, and nobody on the execution team has the authority to fund one.

Reason 04

Capability that leaves with the vendor.

Six months in, real outcomes start appearing. Month seven, the consulting contract ends. Month nine, your team still can't build new workflows on their own. You've rented capability, not bought it. The monthly retainer never ends.

Transformation, in production

Where Our AI Enablers are transforming enterprise marketing.

Not decks. Not fly-by recommendations. AI Enablers, embedded inside enterprise marketing teams. Capability that stayed long after we left.

25% agency spend, eliminated. 45 AI workflows shipped.
20-person Demand Gen team · 3-month engagement

Eliminating agency "bloat spend" with AI

A 20-person Demand Gen team was bleeding 25% of their agency budget on "bloat work": list cleaning, deck formatting, UTM tagging, report assembly. Over three months, we embedded 4 AI Enablers in the team and co-built replacement workflows one-on-one with every member. By the end, every person was shipping their own AI workflows in their daily rhythm.

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People enabled as AI builders
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Workflows co-built and deployed
0h+
Hours saved, per month
0%
Reduction in agency spend

"We preferred using AI because it was in our control. We got tasks done quicker without the agency back-and-forth." · Demand Gen Manager

Led by Enes Certiner Marketing Operations Architect · Demand Gen · Vibe Coder
$15M pipeline generated. 7M+ audience scaled. Zero new headcount.
12-language global nurture programme · NurtureOps vibe-coded in 3 days

From spreadsheet chaos to a one-click operating system

A global nurture programme had scaled into a 600+ email, 12-language operation spanning NA, EMEA, LATAM, and JAPAC. The team was buried in 15-20 hours a week of spreadsheet work, broken UTM formulas, and scattered approval threads. Liane vibe-coded a custom internal app called "NurtureOps" in 3 days, then transferred the build-it-yourself pattern to the rest of the team.

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To vibe-code NurtureOps live
0M+
Audience scaled, no new headcount
$0M
Pipeline generated in one quarter
0%
Spreadsheets eliminated

"I described what I needed in plain English and let the AI generate the code. It took just 3 days to build. Not a form. A complete operating system." · Global Marketing Ops Lead

Led by Liane Farrant Global Marketing Operations Lead · Global Ops · Vibe Coder
70% events agency spend reduction. 14 workflows shipped.
4-person events ops team · 40+ events a year · 4-week engagement

From manual event ops to AI-orchestrated delivery

A global B2B SaaS team running 40+ regional and flagship events a year, with a 4-person events ops team buried in registration triage, attendee-to-MQL handoffs, sponsor reporting, and post-event surveys. Hayley embedded for 4 weeks and co-built a stack of agents covering registration, session feedback synthesis, sponsor reporting, and pipeline handoff to demand gen. By the end of the engagement, the team was shipping their own agents for new event formats.

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People enabled as AI builders
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Workflows shipped, end-to-end
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Hours saved, per event
0%
Reduction in events agency spend

"We used to plan around what the team could physically handle. Now the agents handle the volume, and we plan around impact." · Field Marketing Director

Led by Hayley Osmond Event Operations Lead · Events Ops · Vibe Coder
100+
outcomes shipped
Across every marketing discipline

The three cases above are a sample. The same short loop, run with every person in scope, produces the same shape of outcomes across every team we work with. The discipline travels.

Demand Gen Content Product Marketing Lifecycle Brand Marketing Ops Events Analytics
The AI Enabler

Who they are. What they do.

We have 50+ senior Enablers on the Algomarketing team, full-time and in-house.

Not a consultant. Not an AI engineer. A senior enterprise marketer who is AI-native, vibe codes and builds AI agents at scale, and now thinks in AI.

A coach with real training and enablement experience, embedded inside your team. They get your team building from week one.

Who they are

Five traits. All required.

An AI Enabler, rendered as a sketched outline figure, co-building a marketing workflow alongside a marketer working at a laptop in an enterprise office
  1. 01Fortune 500 enterprise marketing track record. Delivered campaigns at scale. No 6-week ramp. No vocabulary gap.
  2. 02Native in your stack. Clay, Marketo, HubSpot, Braze, Looker. Fluent across major LLM providers.
  3. 03Built agents in production. Live workflows other marketers now depend on.
  4. 04Real coaching experience. Has trained dozens of marketers inside enterprise teams.
  5. 05Makes capability stick. Documents, demos, and tests the work back to leadership.
What they do

Four moves. One person at a time.

Move 01 · Identify

Sit next to one person.

The Enabler shadows them through a real working day, mapping the copy-paste loops and manual handoffs. Surface the highest-leverage workflows to rebuild.

Move 02 · Co-build

Build with them, in production.

Over ~3 hours across the week, the Enabler co-builds the workflow live at their keyboard. A working, optimised workflow they're running live in their day-to-day. By Friday.

Move 03 · Upskill

Coach the muscle memory.

Now the marketer builds the next AI workflow solo. The Enabler watches, corrects, never types. Capability is forged in the doing, not in slide decks.

Move 04 · Handoff

Hand over the playbook.

Written manuals, workflow documentation, and a final scorecard delivered. The marketer leaves fully self-sufficient. Engagement closes. No retainer tail.

Per-person total
~7 hours
Spread across a week of working days.
Team rhythm
Weekly clinic
Group session where the team swaps what they built.
Accountability
Monthly scorecard
Baseline on day one, then tracked every month to your leadership.
Engagement shape
Scoped, not open-ended
Fixed duration agreed up front. We leave at handoff. No retainer tail.
How we work

Two principles.
Four artefacts. Four metrics.

Two non-negotiable principles. Four artefacts your team keeps. Four KPIs, reported every month. The impact, week by week, in numbers you can defend.

An AI Enabler bridging a conversation between a marketer and a technical team member across functions
01 / Principles

How we work.

Non-negotiable. Run every engagement.

01

We co-build. We never build for you.

Every workflow is built side-by-side with the marketer who'll own it. They keyboard, the Enabler guides. Capability transfers in the doing, not in a deck.

02

We embed senior practitioners, not consultants.

AI Enablers are senior marketers who've built and shipped agents in production. They speak your team's language because they've sat in your team's chair.

02 / Artefacts

What gets built.

Yours to keep. Long after we've gone.

01

3+ automated workflows per person

Co-built. In production. Not prototypes.

02

"AI Ways of Working" playbook

Your team's operating manual. Written from your stack.

03

Shared prompt and agent library

Tuned to your brand, data, tooling. Owned by your team.

04

A clean capability handoff

Documented, tested, demo'd to your leadership.

03 / KPIs

What gets measured.

Baselined week one. Tracked monthly.

%

AI Proficiency

% of team with daily AI usage.

#

Workflows Optimised

Processes rebuilt or automated.

#

Hours Saved

Reclaimed per person, per month.

$

Agency Cost Reduction

External agency spend eliminated.

Commercial terms

Two ways to engage. One commitment.

From single teams to full-workforce programmes, the engagement scales but the standard doesn't. No day rates. No consulting multipliers. No statement-of-work gymnastics. Fixed scope. Fixed outcomes. Plus a commitment most of our competitors won't make.

Team Programme · Transparent pricing
$2,500

per person enabled · ~7 hours across 1 week per person

Typical engagements
$5k·2-person team, ~2 weeks
$25k·10-person team, ~4 weeks
Scoped engagement · Enablers scale with team size
  • ✓Dedicated AI Enabler embedded in your team
  • ✓3+ co-built workflows per person, in production
  • ✓Weekly clinic + monthly KPI scorecard
  • ✓"AI Ways of Working" playbook (custom to your team)
  • ✓Shared prompt and agent library
  • ✓Clean capability hand-off at engagement close
Book a discovery call →
Workforce Programme · For enterprise rollouts
from100+

marketers enabled · multi-region, multi-quarter rollout

Typical engagements
Multi-region·35+ markets, full compliance
Multi-quarter·Parallel cohort waves
Custom scope · Priced after scoping call
  • ✓Programme-aligned cohort design across business units
  • ✓Bench of senior Enablers, deployed in parallel waves
  • ✓Multi-region delivery (35+ markets, full compliance)
  • ✓Custom KPI framework aligned to your transformation goals
  • ✓Integration with existing transformation partners (McKinsey, Accenture, Deloitte, etc.)
  • ✓Executive steering, board-grade reporting, volume economics
Talk to our enablement team →
• Adoption floor commitment · Applies to every engagement

100% of trained team members independently building AI workflows by hand-off. Or we extend at our cost.*

Every engagement, at any scale, is measured against this floor. If we miss it, we extend the engagement at our cost until we hit it. No renegotiation. No sunk-cost fallacy. No retainer bait-and-switch.

* Extension capped at 6 weeks, fully at our cost.

Our mission

We're building the evolved workforce.

AI isn't replacing marketers.
AI-native marketers are.

Two futures. We exist for the one where your team wins.

Algomarketing has hired the world's largest in-house team of AI-native marketing professionals. Our AI Enablement programme is how your team becomes one of them.

Your peers are already building AI-native marketing teams. Don't get left behind.

Book a discovery call →
Frequently asked

The questions you'll get asked before you sign.

We run a curated recruitment cohort. Every Enabler is a senior marketing practitioner (5+ years in martech, marketing ops, or marketing analytics) who has independently shipped AI workflows before we hire them. Every one holds Gen AI Certification (Level 1) as a floor and completes our internal certification before they can be matched to a client team. We screen as hard for teaching ability as for technical skill.
Typically 2-3 weeks from contract signing to Enabler day one. That covers discovery and scoping, chemistry call with your team lead, and system access / OKR setup. Faster starts are available for urgent needs. No 90-day mobilisation phase like traditional consultancy.
Yes. Common extensions are: rotating the same Enabler onto a new team within the organisation, or adding Enablers for team growth. We also offer an Enablement + Execution model where the Enabler delivers a specific role (e.g. Demand Gen, Content) while continuing to upskill others. Extensions are scoped separately, not assumed.
Yes. We offer a transparent conversion path with a standard finder's fee. About 15% of engagements end in FTE conversion. We see this as success. It means the capability transfer was so strong that you wanted to keep the person on the team permanently.
Adoption is the most common reason AI transformations stall, which is why our model is built around it. Every workflow is co-built with the person who will use it daily. Nothing is handed down from strategy deck to end user. That's how we hit 100% of trained team members independently building AI workflows by hand-off. And if we miss that floor, we extend the engagement at our cost until we hit it.
Two structural differences. First, we embed a builder, not a strategist. The Enabler is a senior marketer who ships workflows, not a partner running PowerPoint. Second, our business model depends on leaving, not staying. We don't want a long retainer. We price on capability transfer, and we've committed to an adoption floor. The big consultancies can't match either of those structurally. Their business model is billable days, not outcomes.
Standard enterprise framework. All IP for workflows, agents, playbooks, and libraries built during the engagement is owned by your organisation. Enablers work under your existing data governance and security policies. NDAs, MSAs, and DPAs are handled through our standard contracting. We've already passed procurement at several of the brands in our trust strip.
Heads of Marketing Operations, Marketing Transformation, Marketing Excellence, or Marketing Innovation. Occasionally a forward-leaning CMO or VP of Marketing who owns the transformation mandate directly. The economic buyer is usually the leader who's accountable for the marketing team's productivity, not the CIO or the AI centre of excellence.