We audit your Bedrock, OpenAI and Anthropic spend, implement prompt caching and model right-sizing, set up budgets and per-team chargeback — and typically cut AI bills by 30–50% in the first quarter.
We inventory every euro you spend on AI — Bedrock, Anthropic, OpenAI, Azure OpenAI, Copilot — and trace it back to teams, projects and use cases.
Anthropic prompt caching can cut input costs by 90%. Right-sizing models to the actual task often saves another 40%. We implement both, measurably.
Dashboards that show every team what they spent and why. Budget alerts before you blow through them. Chargeback that ends the 'AI is free' mindset.
We pull invoices, API logs and Bedrock usage data and build a single picture of your AI spend.
Prompt caching, model right-sizing, batching where possible — implemented in your pipelines, measured against baseline.
Per-team budgets in AWS Budgets, anomaly detection, weekly chargeback report — automated, in your BI tool of choice.
Continuous review of new spend, model price changes, and optimisation opportunities. We catch the next surprise before it lands.
First it's €200 a month — a marketing pilot. Then sales discovers ChatGPT, IT plays with Copilot, an intern builds a bot. Six months later the AWS invoice lands at €18,000 in Bedrock costs and nobody can explain who spent what on what. We bring transparency, kill the biggest cost drivers immediately, and put the process in place to manage AI investment like any other cost center.
Three typical starting points where we deliver clear savings within a quarter.
Bedrock bill grew from €800 to €14,000/month in 9 months. Nobody knew which features burned how many tokens.
Eight teams use GPT-5 and Claude on their own. CFO wants to charge back per department but has no data foundation.
Pilot is going productive. CIO needs hard budgets per area before this runs out of control.
AI FinOps isn't a black box. There are four dials we turn measurably — across each of your platforms.
Every euro is attributed to a team, a use case and a model. You see per area what's running — and what it costs.
Not every task needs the top model. We route simple requests to cheap models and reasoning-heavy work to the strong ones — typically 40 % savings.
Anthropic prompt caching cuts repeat input costs by up to 90 %. Batch processing halves them again. Both measurable, both reversible.
Hard budget per team, threshold alerts in Slack/Teams, monthly chargeback report. No team gets surprised by an invoice ever again.
scoped to complexity
A governed AI environment on your own AWS account: Bedrock with access to Claude and OpenAI (ChatGPT) models, Guardrails, audit logs and cost controls — set up in 4 weeks.
A digital team member that knows all your company documents and gives your staff the right answers instantly — around the clock.
A management platform for AI agents: deploy new agents independently, assign tasks, monitor results — no external vendor required.
Risk classification, AI register, DPIAs and governance committee setup — your documentation and processes ready for the regulator.
AI inside your own AWS environment — your keys, your data, no traffic to the public internet. For finance, healthcare and the public sector.
We test your AI systems the way an attacker would: prompt injection, data leakage, agent abuse and MCP server hardening — with a fix list you can act on.
30 minutes, no obligation, no cost. We'll honestly tell you if and how we can help.