How Office Samurai Uses KYP.ai to See the Work Before Automating It

Office Samurai supports eight active KYP.ai client engagements and uses KYP.ai discovery to build automation roadmaps across both classic RPA and AI & Agentic Automation - with ROI attached before deployment.

  • 17 FTE annual savings potential identified in a single assessment
  • ~USD 442K estimated annual savings potential from the same assessment
  • up to 90% productivity improvement potential on the strongest candidate
Office Samurai & Kyp.ai
  • Automation & transformation projects delivered 500+
  • Active KYP.ai client engagements 8
  • Offices Poland, Switzerland, Lithuania, USA
  • #NoBullshit discovery → quantify → automate → train → govern

The Opportunity: A Method That Needed a Data Layer

The market is loud about AI. Every enterprise wants AI agents in production. Far fewer can say where automation actually creates value.

The Value Nobody Can See

Clients arrive with AI ambition, a budget, and pressure to automate everything. What they rarely arrive with is evidence.

Agents on Top of Broken Processes

Automating on instinct means putting agents on top of broken processes, burning cash, and calling it transformation.

Assumptions Nobody Challenged

Recommendations get built on what a client believes about their own process. Office Samurai wanted to challenge those assumptions first.

The Solution: The Data Layer Underneath the Method

Office Samurai uses KYP.ai as the discovery and measurement layer that makes “understand first” possible at enterprise scale.

  • A Digital X-Ray of How Work Actually Gets Done KYP.ai captures real activity across desktops, applications, and systems - the manual steps, exceptions, and workarounds that never reach a system log. Office Samurai uses that picture to separate the process on the slide from the process in the daily work. Nothing gets automated until the waste is cleared and the case is proven.
  • Every Candidate Arrives With a Number KYP.ai quantifies each opportunity in FTE and currency before a decision is made. That turns the conversation from "where could we automate?" into "where should we?" - the distinction Office Samurai builds their recommendations on. Clients see what fixing something is worth, not just that it is technically possible.
  • More Than RPA Office Samurai uses KYP.ai discovery to build roadmaps across both classic RPA and AI and agentic automation - showing exactly where to deploy agents for real ROI, and where not to. One discovery layer, two roadmaps. That is what keeps the model relevant as buyer demand shifts from rules-based bots toward agents.
office samurai & kyp.ai

The Results: The Numbers Clients Saw Before Deciding

The proof is in the roadmaps Office Samurai puts in front of clients. Three anonymised engagements show the pattern. The figures below are identified improvement potential and benchmark – adjusted estimates – the quantified case Office Samurai builds before deployment, not realised post – implementation savings.

automation candidates

Customer A: IT & Industrial Automation

Structured analysis surfaced five concrete automation candidates, with productivity improvement potential ranging from 50% to 90%. The strongest single candidate showed 90% potential – an estimated 7 FTE saving and roughly USD 182,000 a year. Across all five candidates, the total reached 17 FTE and approximately USD 442,000 in annual savings potential. One analysis turned “where could we automate?” into a quantified pipeline with clear business value.

Improvement-Candidates

Customer B: Manufacturing

Using KYP.ai data in Power BI, improvement patterns, and AI Concierge prompting, Office Samurai identified 5.39 FTE of improvement potential across three categories: AI agents, IPA, and RPA. After applying implementation benchmarks from prior projects, the realistic adjusted saving was an estimated 2.70 FTE, representing 11% of the measured scope. The largest opportunity sat in AI agents: 3.18 FTE before adjustment, 1.59 FTE after.

Customer C: Logistics

Analysis identified 8.71 FTE of improvement potential across productivity, RPA, AI agents, IPA, communication, and automatic time tracking. After benchmark adjustment, the realistic estimate was 5.76 FTE, representing 24% of the measured scope. The biggest opportunities came from AI agents (3.85 FTE potential, 1.93 FTE adjusted) and productivity improvements (3.18 FTE potential, 2.86 FTE adjusted).

We were surprised how quickly KYP.ai delivers value. In most cases, KYP.ai brings higher ROI than the AI technologies on top of it.

Dominik Jaskulski Co-Founder & Managing Partner, Office Samurai
Dominik Jaskulski, Co-Founder & Managing Partner, Office Samurai

Key Takeaways: What Made the Model Work

Understand Before You Automate

Automation on instinct scales the wrong work. A digital X-ray of how work actually happens lets you clear the waste, or retire a process, before a single agent is built.

Quantify the Should, Not Just the Could

Almost anything can be automated. The question is what it is worth. Attaching ROI to every opportunity before deployment is what separates a roadmap from a wish list.

More Than RPA

One discovery layer can feed two roadmaps. Evidence tells Office Samurai where classic RPA pays and where agents do, so the recommendation follows the data, not the trend.

Build Capability, Not Dependency

Training the client’s own team to read the data and run the platform is not a giveaway. It is what makes the partnership trusted enough to last.

What Each Side Brings

Office Samurai brings senior practitioners with delivery experience across shared services, GBS, finance, operations, and legacy systems. The #NoBullshit method, end-to-end ownership, and training that leaves the client self-sufficient.

KYP.ai brings a digital X-ray of real work across desktops, applications, and systems – without prior process knowledge. ROI quantified per opportunity, and a roadmap that spans both RPA and AI and agentic automation.

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About KYP.ai

KYP.ai is an agentic process intelligence platform built on three pillars: a 360° View capturing real-time data across your organization's people, processes, and technology; a Business Transformation Engine that quantifies inefficiencies and calculates automation ROI; and an Agentic AI Enabler generating ready-to-execute agent code with structured business context.

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