Systems
We audit ERP, CRM, DAM, finance and channel platforms, leave what works in place, and build, buy, migrate or upgrade what is necessary to achieve the outcome.
Solutions
Everything it takes to re-engineer the enterprise.
AI platforms, data that reaches everywhere it is needed, people ready to work with AI, governance you can trust, talent deployed the way you need it, and a partner accountable for the outcome.
01
AI platforms
The layer your enterprise runs its AI on, chosen and built to fit the estate you already have, and owned by you.
Chemicals, in market
3.5 months
from planning to a governed GenAI platform in production, used by 400–500 employees.
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Agents
Solves workflow automationAgents that work alongside your people, in the tools they already use: automating manual tasks, and integrating agent workflows into the systems you run today.
Retail: 400+ ideas triaged to 89 costed cases, around €1.15m a year estimated -
Custom builds
Solves platform developmentEnterprise-owned software, built for the way you work and engineered from the first idea into production.
Manufacturing: 24/7 shift planning live in 2 of 8 departments -
SaaS modernisation
Replace SaaS licences with systems you own, and consolidate a stack that grew by accident, without breaking the work that runs across it.
Build, buy, migrate or replace -
Marketing automation
Broadcast replaced by the next-best-action for each customer, built on first-party data and measured on conversion, not reach.
Consumer goods: +40% uplift among engaged customers, as reported -
Insight platforms
Reporting that answers the question that was asked, and insight that reaches the person who can act on it, with every answer linked to its source.
Consumer goods: a €800m+ prize found in data the business already held
02
Data, everywhere it is needed
No AI works if the data underneath it is wrong. We connect what you have, so data travels across the business instead of waiting to be reconciled by hand.
Integrations
We solve the data integration challenge. Data travels as and when it needs to, with guardrails, role-based access control and security by design.
Flows
The right movement of data, end to end: extraction, transformation and enrichment, loading and quality checks, with security and data governance by design.
Reporting and conversational analytics
Reporting that answers the question that was asked, and analytics anyone can talk to: ask in plain language, and get an answer linked to its source.
03
Workforce transformation
AI only pays when people use it. We roll it out with your teams, not to them: literacy, training and change that land because the people doing the work own it.
Retail, in market
90+ use cases
live across 8 markets in 2 months, with self-service engagement 5× the baseline.
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AI literacy and training
Prompting, evaluation and judgement on when to trust the machine, built into the work rather than a training day, so capability stays when we step back.
Retail: AI literacy curriculum rated five stars across cohorts -
Use-case discovery with your people
Shadow sessions and workshops that surface ideas from the people closest to the work, then rank them for value and route each one: build, reuse, refer or park.
Retail: 400+ ideas triaged to 89 costed cases -
Change management and adoption
Roll-outs planned with the teams who will use them, with adoption measured rather than assumed, so a pilot becomes the way work is done.
Chemicals: 400–500 employees on a governed GenAI platform, with standing demand for more -
Ways of working with AI
Human in the loop, human on the loop: deciding where people lead, where AI does the work, and how roles change, so a motivated but nervous workforce can move with confidence.
04
Governance for the AI re-write
AI usage is moving faster than AI control. We design governance in before scale, so every model, agent and tool is safe, accountable and worth what it costs.
Responsible AI and risk
Responsible AI impact assessments, EU AI Act readiness, and human-in-control built into the design, not added after launch.
Security, privacy and access
Role-based access, data that stays in your own environment, and privacy by design under the AVG (GDPR).
AI tooling and control
One view of the AI in use across the business: permissions, routing, usage, anomalies and alerts.
Portfolio governance and AI FinOps
A governed, costed pipeline, where every idea has a route and a value model, and what AI costs to run is tracked against what it returns.
0new P1 incidents in steady state for a governed GenAI platform, Chemicals
85 of 89cases already solved or owned: reuse over rebuild, Retail
AuditedMicrosoft Advanced Specialisation in Data, ML and AI
05
Seamless deployment
Team members as committed as you, integrated as if they were you. Choose how our talent works with yours, and change it as the work changes.
Forward deployed
Our team, working as you.
Suits moving fast on a priority, with engineers inside your team from day one.Embedded
Our team, on site with you.
Suits work that needs to sit with your people, every day.Partnered
Hand in hand with your team, in a hybrid model.
Suits shared delivery, where your team builds capability alongside ours.Delegated
Working for you, with oversight, ownership and accountability.
Suits whole workstreams you want delivered and run.
From Portera-led to full client ownership, by design.
- M-shapedengineers, deep in several technical disciplines, with the business acumen to run programmes
- 3 disciplinessoftware, data and business engineering, in one team
- 12+ yearsengineering for maker businesses
06
Strategic partnership
You know what you want to do. We bring the how, prove the value, and stay accountable for the outcome, not the hours.
Enterprise architecture
Zero-based architecture: start from the work, not the stack, and re-cut everything around what drives the business, using your existing stack wherever it can.
Solution design
The business outcome first, then the solution engineered end to end across the data, people, process and platform it depends on.
Commercial growth
Revenue growth management, pricing, go-to-market and new customer experiences, enabled by AI, data and technology.
Enterprise performance
Solves value realisationWhat to invest, where, and how to prove it: a Value Realisation Office that tracks every build against evidenced value, including what the AI costs to run.
Workforce skills and tooling modernisation
Mindset, skillset and toolset: AI literacy built into the work, not a training day, and the data, model and agent layers provisioned to the people doing it.
Don’t take our word for it. Talk to the clients whose numbers moved.
- €800m+growth prize identified
- €109mannual savings realised
- 5×market share growth
- 3.5 mofrom plan to production
We’ll introduce you to the people who lived it. Results as reported by our clients.
Want to talk?
Share with us the key priorities you have, and we will come prepared for how Portera can work for you.