AI That Targets Costs, Not Hype.
We identify your most expensive operational bottleneck, automate it with task-specific AI, and deliver structural cost reduction - from strategy to production, with measurable outcomes.
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If it doesn't save money or make money, don't build it.
The era of large AI transformation projects is over. Six-month timelines. Seven-figure budgets. Vague deliverables about "becoming an AI-first organization." Most of them failed. The organizations that ran them learned an expensive lesson: AI only creates value when it is pointed at a specific process, with a measurable output, and a clear line to cost or revenue.
That is the only kind of AI work Gradion does.
Across all live deployments, Gradion's AI and automation systems process more than 20 million tasks every month. These are production workloads - invoice processing, candidate screening, customer support, supply chain operations - running continuously, at scale, inside our clients' existing systems.
Five Ways We Work With AI
Gradion's AI practice covers the full arc from strategy to production.
HOW WE ENGAGE
Entry point depends on where you are.
Your situation | Where to start | Typical timeframe |
|---|---|---|
"We know AI matters but don't know where to begin" | AI Strategy & Readiness assessment | 1–2 weeks |
"We have an idea but need to test feasibility" | Company Design Sprint | 2–4 weeks |
"We know exactly which process to automate" | Agentic AI pilot - first agent in production | 4–8 weeks |
"We need a production GenAI application" | Generative AI Applications build | 6–12 weeks |
"We have models but can't keep them live reliably" | MLOps & AI Engineering engagement | 4–12 weeks |
Every engagement starts with a data readiness assessment. An agent built on clean, structured data produces predictable output. An agent built on fragmented systems will fail within weeks. Where data needs work first, we say so upfront and scope it as part of the engagement.
What This Looks Like In Production
Invoice & Document Processing A manual team handles around 100 invoices per day. An AI agent handles 10,000 - with higher consistency and a full audit trail.
Customer Support & Service Desk Current live project: targeting 80% reduction in handling cost through automated classification, resolution, and escalation.
CV & Candidate Screening Manual review: 300 CVs/day per recruiter. AI agent: 700+ with consistent criteria across every candidate.
Supply Chain & Vendor Operations Invoice matching, purchase order reconciliation, ordering workflows - processes that absorb significant headcount and produce disproportionate error rates when done by hand.
The business case in one sentence: Revenue scales. Operational cost per transaction does not. Every automated workflow widens that margin - and the effect compounds. Across live deployments, our clients process 10–100x the volume with the same headcount.
Client references available under NDA.
Data Residency
For clients where data sovereignty is a requirement - whether due to GDPR, sector regulation, or a board-level decision not to depend on US cloud infrastructure - we deploy on EU sovereign cloud or fully on-premise using open-weight models that require no external API calls. This is an option we design for where required, not a constraint that limits what we can build.
Proof In Production
Shopware - 21-engineer AI Product Team Gradion embedded a 21-person engineering team within Shopware's AI product organisation, delivering approximately 40% reduction in product development costs. The engagement began with a structured assessment of existing product capability and gap analysis before any hiring decisions were made.
procelo tosca - Complex ERP Query Automation An AI system achieved 80%+ SQL query accuracy across complex ERP schemas in an 8-week engagement - enabling non-technical users to query enterprise data in natural language without involving the data team.
20 Million+ Tasks Monthly Across all live deployments, Gradion's agentic AI systems process more than 20 million tasks every month. These are production workloads, not benchmarks.
All figures are from live engagements. Additional references available under NDA.
Tell us which process is costing you the most.
Whether you need a strategy assessment, a design sprint, or a production agent - the conversation starts the same way: what is the most expensive problem, and what would it be worth to solve it?