01 Cost
Reduce avoidable platform spend, overlapping tools and dependency on manual operating models.
ENDPOINTLABS CONSULTING
Modernise Your Technology Stack. Reduce Costs. Deploy AI Where It Actually Matters.
We help companies cut unnecessary software spend, fix fragmented data and automate expensive manual work, then deploy AI where there is a measurable business case.
Cut spend. Fix data. Automate. Deploy AI.
No sales deck. We’ll look at your stack and whether there’s a useful project.
02 Data
Replace disconnected reporting with trusted infrastructure and usable decision systems.
03 AI + Automation
Grok · ChatGPT · GeminiUse Grok, ChatGPT, and Gemini where they cut real work, and automate the repetitive ops around them: speed, quality, visibility, operating leverage.
Platforms & models we work with
Most 2026 businesses are still running on a 2020 stack.
Expensive reporting platforms
Legacy BI and agency-built dashboards that cost more than they return.
Multiple disconnected systems
Overlapping SaaS tools with no shared source of truth.
Manual spreadsheet processes
Reporting and ops still glued together by hand every week.
Agency dependency
Critical measurement and tagging owned by someone else.
Poor data visibility
Decisions lag because the numbers never land in one place.
AI with no measurable ROI
Pilots that never leave the lab. Instead of Grok, ChatGPT, or Gemini cutting real work.
ASSISTANTS TO AUTONOMOUS OPS
From assistants to ops that run.
Assistants
Ask one prompt at a time.
ChatGPT · Claude · Grok · GeminiConnected AI
Wired into your tools and data.
Claude Code · Cursor · CodexWorkflow agents
Keep working in the background.
monitor · summarize · compare · recommendAutonomous ops
Run with guardrails in place.
Guardrails first: identity, spending limits, human approval, audit, compliance, settlement rails.
What we do
Practical audits, roadmaps and implementation support for modern technology teams.
Services are designed for leaders who need to reduce software waste, improve data visibility and make AI useful inside real operating processes.
AI & Technology Cost Audit
A focused review of your current software estate, reporting workflows, vendor dependencies and manual operating costs. The output is a prioritised list of opportunities to reduce spend, simplify systems and apply automation where it has a clear business case.
Marketing Technology Audit
Assessment of your measurement stack, tagging, attribution, CRM integrations, campaign reporting and platform governance. Designed for teams that need cleaner data, lower agency dependency and stronger visibility into marketing performance.
Google Marketing Platform · Meta CAPI · Salesforce Marketing CloudData Infrastructure Review
A practical review of how data is captured, stored, transformed and served to the business. We identify brittle pipelines, duplicated reporting logic, data quality risks and opportunities to move toward cloud-native architecture.
GA4 · GTM · BigQueryIf capture is wrong, BigQuery and the model don’t save you. Clean raw data first.
AI Workflow Automation
Identification and delivery of AI-enabled workflows that replace repetitive analysis, reporting, QA, documentation and operational coordination. Every recommendation is tied to time saved, cost reduced or quality improved.
Grok · ChatGPT · GeminiImplementation Roadmap
A board-ready plan that translates audit findings into a phased delivery programme, including commercial impact, dependencies, risk, governance and the right sequencing for modernisation.
Digital Sovereignty
Own more of your infrastructure, data and digital assets. We help clients reduce dependency on third-party platforms where ownership matters.
How we work
A practical path from technology waste to measurable improvement.
Discovery
Clarify business goals, current pain points, cost pressures and the systems that matter most.
Audit
Map platforms, data flows, reporting processes, integrations, manual work and hidden dependencies.
Roadmap
Prioritise the highest-value opportunities with commercial impact, implementation effort and risk clearly set out.
Transformation
Support implementation across automation, cloud infrastructure, AI workflows and reporting modernisation.
USE CASES
Work you can picture yourself in.
AI consultancy digital rebuild
Problem
Cold, generic site. AI talked about in the abstract. Hard for prospects to see the real stack or trust the work.
What we did
Warmer cream/stone redesign. Named real models and platforms. Added agents strip, FAQ, and clearer About. Kept it lean for local demo before live.
Tools
Next.jsVercelCursorGTMGrokChatGPTGemini
Outcome
Cleaner, warmer site that names the real stack and reads as work, not generic AI copy.
Commerce measurement rebuild
Problem
Shopify tracking was heavily dependent on browser-side tags, limiting data quality and making conversion measurement more vulnerable to signal loss.
What we did
Reworked the measurement setup around Google Tag Manager and server-side tracking. Connected Shopify conversion events with Meta CAPI and improved the flow of first-party data into advertising platforms.
Tools
ShopifyGTMServer-side GTMMeta CAPIGA4
Outcome
A cleaner, more resilient measurement setup with better control over conversion data and less reliance on browser-only tracking.
Automated conversion pipeline
Problem
Important customer actions were happening outside Meta’s standard browser tracking, leaving paid media without a complete view of downstream conversions.
What we did
Built an automated workflow in Microsoft Power Automate that captured conversion data from business systems and used HTTP requests to send structured events directly into Meta’s Conversions API.
Tools
Power AutomateAzureHTTP APIsMeta CAPICRM
Outcome
First-party conversion events could flow automatically into Meta, reducing manual work and improving visibility into the actions that actually mattered.
ABOUT
Max Van Straten / Founder, Endpoint Labs
I’ve worked agency, vendor, and client side, so I’ve seen the hurdles from every seat. At mSIX I connected CRM, digital, and website data so clients could personalise through Salesforce Marketing Cloud and Google Marketing Platform. At Salesforce I ran complex Marketing Cloud Intelligence and MuleSoft implementations and turned goals into architecture teams could actually use. At Meta I advised on ads and commerce measurement and delivery, and unblocked clients with Product, Engineering, and Sales.
In those seats it became abundantly clear: companies need one trusted person who can guide solution architecture, implementation, tech support, solutions engineering, and account management. The days of working in siloed teams are over.
Many companies do not need more dashboards, more SaaS tools or vague AI strategy. They need a clearer view of where technology spend is creating value, where manual processes are slowing decisions down and where automation can remove real operational friction.
My role is to turn that complexity into a practical plan: simplify the stack, improve data quality, reduce avoidable spend and deploy AI only where it helps people make faster, better decisions.
BUILT FOR A CHANGING WORLD
Flexible support for shifting priorities.
Technology changes quickly. Your operating model should be able to change with it.
Some clients need a focused audit. Others need architecture, implementation or ongoing technical support.
Endpoint Labs works flexibly across one-off projects, retained advisory and hands-on delivery, without forcing clients into a rigid consulting model.
WHAT WE DON’T SELL
What we don’t sell.
AI for the sake of AI
If automation doesn’t save time, reduce cost or improve decisions, don’t build it.
Another dashboard nobody uses
Reporting should answer decisions, not create another login.
Technology lock-in
Architecture should increase your options, not reduce them.
100-slide transformation decks
We prioritise practical architecture and implementation.
FAQ
Common questions.
What does endpointLabs actually do?
We help teams cut software waste and modernise how data, marketing tech, and AI work together: audits, roadmaps, and hands-on implementation.
Why start with data capture?
If GA4, GTM, and event pipes are wrong, BigQuery and the model don’t save you. Clean raw data first; warehouses and AI only amplify what’s already true.
Which marketing platforms do you work with?
Google Marketing Platform, Meta CAPI, Salesforce Marketing Cloud, plus the measurement stack around them, not generic “MarTech strategy” slides.
How do you use AI day to day?
Hands-on with Grok, ChatGPT, and Gemini: practical workflows and agents, not vague “AI transformation.”
What is digital sovereignty in your work?
Owning more of your infrastructure, data, and digital assets so you’re less locked into third-party platforms, including self-hosted options where they fit.