Where does AI save your ops team the most?
A structured diagnosis with hard ROI numbers per process. Not a vendor pitch. Not a strategy deck. A production-grounded business case your board can act on.
Let's talk
Every company is talking about AI. Most have no number.
Every vendor tells you their tool will transform your business. None gives you a number you can defend to the board.
Your finance team processes 200 invoices a day. Your support team handles 400 tickets a week. Your HR screens 50 CVs per opening. You suspect half of this is automatable. But you cannot get budget approved based on a hunch.
The problem is not technology capability. The technology works. The problem is the absence of a defensible business case.
The AI pilot graveyard
Every mid-market company has run at least one AI experiment. Most are dead or irrelevant. Proof of concepts that proved the concept but never reached production. Innovation labs that produced demos nobody used.
The pattern is always the same: no clear answer to where AI creates value and what the realistic return is.
What this costs you
A 50-person operations team costs approximately EUR 900K per year. If 60% of that work is automatable, you are losing EUR 540K annually to manual processes.
Every quarter without a clear automation roadmap is EUR 135K in avoidable cost.
The AI Process Audit gives you the number. Not a strategy document. A production-grounded ROI model with specific savings per process, ranked by effort and payback period.
After two weeks, you will have answers.
Which of your 8-15 processes are strong automation candidates and why.
Each process scored on five dimensions: volume, repetitiveness, data availability, error sensitivity, and current cost. Above 3.5 out of 5 is a strong candidate. Below 2.5 is deprioritised. No ambiguity.
The exact annual cost of manual execution vs. projected automation savings per process.
Not a range. A number. Backed by your actual volume data and loaded cost per FTE.
Your top 3-5 processes to automate first, with estimated build cost and payback period.
Ranked by impact and feasibility. The list your board needs to approve the next step.
A board-ready executive summary.
Two pages. Total addressable savings. Priority list. Recommended next step. Written for the CFO, not the engineering team.
How it works
Discovery
Half-day kickoff workshop with COO and ops leads. Process enumeration, volume and effort data collection across up to 5 functions.
Deep dive
45-minute interviews with 3-5 process owners. Data validation, edge case discovery, exception handling patterns.
Analysis
ROI modelling, opportunity scoring on 5 dimensions, priority list construction. No client time required.
Debrief
Findings walkthrough with leadership. Priority list presentation. Next-step scoping conversation.
Scope
What is included
Process inventory across up to 5 functions: finance, HR, customer support, sales operations, data and reporting.
AI automation opportunity scoring on 5 dimensions per process (volume, repetitiveness, data availability, error sensitivity, current cost).
ROI model per priority process with annual savings projection, build cost estimate, and payback period.
Priority implementation list: top 3-5 processes, ranked by impact and feasibility.
Board-ready executive summary: 2 pages, total addressable savings, priority list, recommended next step.
60-minute debrief call with findings walkthrough and next-step discussion.
What is not included
Technical architecture or system design. That is implementation work (follow-on engagement).
Change management planning. Vendor evaluation. IT infrastructure assessment.
Processes with fewer than 20 transactions per week. Insufficient volume for automation ROI at this stage.
Deep domain workflows beyond operations (R&D, regulatory). These require specialist assessment.
Who does the work
Niraj Kumar, Principal Consultant
GenAI & Cloud Modernization. Pragmatic hands-on leader delivering AI applications, modern cloud platforms, and data-driven solutions that scale fast and deliver measurable business outcomes.
Expertise
GenAI applications: RAG pipelines, copilots, conversational assistants. Cloud replatforming and application modernization with measurable cost and performance gains. Scalable integration patterns: ERP, Pimcore, APIs, data hubs. DevSecOps, delivery practices, and sustainable agility.
Industry experience
Retail & E-commerce. Blockchain and Web3. Scalable web technologies. Infor ERP and WMS.
Track record
Delivered AI copilots and customer-service assistants integrated with existing systems. Led cloud modernization initiatives with IaC, CI/CD and cost guardrails. Fractional CTO for multiple clients across Europe and Asia.
Based in Munich.
Why this audit, from us.
Production-proven, not theoretical
Gradion runs 20M+ agentic AI tasks per month in live client environments. The ROI model in this audit is anchored to real production benchmarks, not analyst projections or vendor claims.
Same team recommends and builds
320 engineers across APAC and DACH. If the audit recommends automation, the same practice that diagnosed the problem builds the solution. No hand-off to a third party. No translation loss between strategy and execution.
The price is a feature
EUR 4,000 is below the approval threshold for most operations budget holders. No procurement process. No committee. A single conversation with a COO who needs a number for next month's board meeting.
The alternative is more expensive
Big 4 firms charge EUR 50K-200K for AI strategy work. Delivery takes 6-12 weeks. The output is a strategy document with no production path.
Boutique AI consultancies charge EUR 10K-50K and hand off implementation to a third party.
The Gradion AI Process Audit costs EUR 4,000, takes 2 weeks, and delivers a production-grounded business case. And we build what we recommend.
AI Process Audit
Fixed price. No surprises. No hidden costs.
Standard
Full audit: process inventory, ROI model, priority list, executive summary. 1-2 weeks, 3-4 work days.
- Process inventory across up to 5 functions
- AI automation scoring on 5 dimensions per process
- ROI model per priority process
- Priority implementation list (top 3-5)
- Board-ready executive summary (2 pages)
- 60-minute debrief call
Common questions
We already tried an AI project and it failed. Why would this be different?
Most AI pilots fail because they start with technology, not with a business case. This audit starts with your processes and your numbers. The output is a ranked list of opportunities with hard ROI, not a technology demo.
Can we do this ourselves?
You can. The question is whether you have someone who has benchmarked 50+ similar processes against production AI automation outcomes. Gradion has. That is what you are paying for: calibration against real production data, not capability.
What happens after the audit?
You receive the findings report and priority list. If implementation makes sense, we scope a follow-on engagement based on what the audit found. No obligation. Most clients decide at the debrief.
How is this different from a McKinsey or Deloitte AI strategy engagement?
Scope, speed, and outcome. A Big 4 engagement costs EUR 50K-200K, takes 6-12 weeks, and produces a strategy document. This audit costs EUR 4,000, takes 2 weeks, and produces a production-grounded ROI model. We also build what we recommend.
Is EUR 4,000 enough for a serious assessment?
Senior engineers using AI-assisted analysis tools cover more ground in 3 days than traditional consultants do in 3 weeks. The price reflects efficiency, not corner-cutting.
From audit to production
The AI Process Audit feeds directly into an AI Operations engagement (EUR 25K-150K, 8-12 weeks). Clients who start with the audit reach production 2-3 weeks faster because the diagnosis is already done.
Typical path: audit in month 1, first agent in production by month 4, full automation programme by month 8. Payback typically within 4-6 months.
No obligation to proceed. The audit stands on its own as a deliverable.
AI Process Audit: EUR 4,000
Fixed price. 1-2 weeks. Fill out the form and we will confirm availability and scope within 48 hours.
- No obligation. No sales pitch.
- Response within 48 hours.
- Senior practitioner, not a junior analyst.