Algomarketing is the only AI transformation partner that delivers both. Embed our AI Enablers who upskill your marketers and co-build new workflows. Or commission our engineers to build production-grade agents that automate the work draining your team's hours. Choose one. Or run them in parallel.
Pick the path that matches how change happens at your company. They run independently. They compound when run together. Most clients start with one and add the other within twelve months.
We embed senior AI Enablers in your marketing team. They map workflows, co-build AI-native replacements, and upskill every marketer they touch. You finish self-sufficient.
We build the AI agents your team should already have. Our in-house engineers scope your highest-leverage processes, vibe-code production-grade automation, and hand the keys over when it's ready.
Senior practitioners deployed inside your team. Engagements run from two weeks for small teams up to three months for large teams running multiple waves. They map your workflows, co-build AI-native replacements, and leave every marketer self-sufficient.
We've been inside 47 enterprise marketing organisations in the last eight years. Every stalled transformation has at least two of these four root causes. Most have all four.
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.
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.
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.
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.
Not decks. Not fly-by recommendations. AI Enablers, embedded inside enterprise marketing teams. Capability that stayed long after we left.
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.
"We preferred using AI because it was in our control. We got tasks done quicker without the agency back-and-forth." · Demand Gen Manager
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.
"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
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.
"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
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.
Our in-house experts are senior enterprise marketers who are AI-native, vibe code, build AI agents at scale, and now think in AI.
They are also coaches with real training and enablement experience, embedded inside your team. They get your team building from week one.
The Enabler shadows them through a real working day, mapping the copy-paste loops and manual handoffs. Surface the highest-leverage workflows to rebuild.
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.
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.
Written manuals, workflow documentation, and a final scorecard delivered. The marketer leaves fully self-sufficient. Engagement closes. No retainer tail.
Two non-negotiable principles. Four artefacts your team keeps. Four KPIs, reported every month. The impact, week by week, in numbers you can defend.
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.
We embed senior practitioners, not consultants.
AI Enablers are senior marketers who've built and shipped agents in production. They've sat in your team's chair.
Co-built. In production. Not prototypes.
Your team's operating manual. Written from your stack.
Tuned to your brand, data, tooling.
Documented, tested, demo'd to leadership.
% of team with daily AI usage.
Processes rebuilt or automated.
Reclaimed per person, per month.
External agency spend eliminated.
From single teams to full-workforce programmes. No day rates. No consulting multipliers. Fixed scope. Fixed outcomes. Plus a commitment most competitors won't make.
per person enabled · ~7 hours across 1 week per person
marketers enabled · multi-region, multi-quarter rollout
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.
Custom AI agents that automate the work eating your team's hours. Built on your existing tools and systems, so nothing new lands in front of security. Each agent ships in under three weeks. Quick compounding wins beat one cumbersome project.
Your team has the AI tools. They've watched the demos. So why is lead enrichment still on a spreadsheet and campaign reporting still taking three days? Four reasons.
SaaS vendors cover the common 20% of cases beautifully and the other 80% poorly. Your real workflows live in that 80%: custom data sources, regional rules, multi-step decisions, edge cases that matter. Off-the-shelf can't reach them. Custom is the only answer, and most teams can't build custom.
Prompting is not engineering. Production-grade agents need observability, retries, evaluations, integrations, version control, and a deployment story. Marketing teams don't have those skills, and shouldn't need to acquire them. The tooling moves too fast to learn faster than the work demands.
Even when marketing knows what to build, central engineering has a two-quarter queue and a different priority list. By the time engineering can build it, the workflow has changed, the LLMs have changed, and the team has moved on. Marketing needs delivery in weeks, not quarters.
Your agencies make money when humans bill hours. They have no incentive to automate the work away. Most agencies will absorb manual processes for years rather than ship the agent that ends them. You need a partner whose incentives align with your headcount efficiency.
Every agent ships in under three weeks. A typical engagement delivers five in six weeks, running in parallel. Compounded wins across multiple pain points at once.
Two weeks inside your team. We shadow the manual processes draining your hours, score each by automatability, hours saved, and strategic value. You get a prioritised candidate list, ranked by impact and ready to build.
Our engineers vibe-code the agent end to end on top of your existing stack: inputs, LLM orchestration, integrations, observability, evaluations. Production-grade in under three weeks. We use the tools you already own, so nothing new hits your security review.
The agent runs in parallel to humans inside the three-week window. We compare outputs, iterate prompts, fix edge cases. Go-live happens only after the agent matches or beats human quality. No earlier, no exception.
Your owner gets trained, documentation is written, runbooks are tested. You own the agent and the code. We stay on retainer for monitoring and improvements if you want, or we walk away and you run it yourself.
Every build is custom-fit to your data and stack. Here are examples of agents we've delivered in recent engagements.
Cut APAC campaign video production and localisation from three months to one and a half.
AI-generated scripts and dynamic scene stitching for production. AI voiceovers tuned to regional pronunciation, visuals and models swapped for cultural fit across India and Singapore for localisation. One pipeline replaces two.
Turn deep event research into a structured brief in minutes.
Built for a global events team. The agent ingests public sources, scores fit against the team's priorities, and outputs a research-ready brief that previously took days of analyst time.
Convert source PDFs into launch-ready emails and landing pages.
For a global marketing team in Marketo, Knak, and Salesforce. The agent extracts content, applies brand and compliance rules, and produces ready-to-launch assets, removing days of manual rebuild work per campaign.
Delivered a Marketo migration for a 200,000-employee organisation a month ahead of plan.
Automated workflow audits, content reformatting, and QA against governance rules. Brought a previously outsourced operation back in-house with full documentation and handover.
A 50-email nurture, in 12 languages, multi-variable A/B tested. 3,600 individual emails shipped.
Built for a major B2B marketing team. The agent extracts a brief, generates copy in tone, translates across 12 markets, spins up A/B tests on multiple variables for each email-language variation, and lands 3,600 production-ready emails. Volume and testing surface a human team could not produce or validate alone.
Consolidates training, runbooks, and SOPs into a single chat surface.
Replaces scattered docs and Slack archaeology. The agent answers in context, auto-generates missing documentation when a question recurs, and shortens onboarding for new joiners.
Inbound leads enriched, scored, routed, and watched in real time.
Combines firmographic, technographic, and intent signals, scores against ICP, and routes to the right rep with context already attached. Powers a live tracker and dashboard of routing movements: for the first time, the team can visually watch leads being routed second by second, instead of stitching reports together after the fact.
Each of these shipped on a client's existing stack. No new tooling, no fresh security review, no months-long programme.
Fixed build fee covers scoping, engineering, testing, and handover. Optional retainer for ongoing improvements and monitoring. If quality targets aren't met by go-live, we extend at our cost until they are.
All tiers include the guarantee: if the agent doesn't meet the quality bar agreed at scoping by go-live, we keep working at our cost until it does.
AI isn't replacing marketing.
AI-native teams 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 Transformation programme is how your team becomes one of them.
Your peers are already building AI-native marketing teams. Don't get left behind.