Scoped implementation. Clear review points. Support after launch.
Built around your existing operational stack
EmailDocumentsCRMERPAPIsDatabasesInternal tools
CLIENT WORK
Selected client work
Two examples of how we turn manual operational work into supported automation.
Procurement and supplier workflows
Tender and supplier comparison automation
We automated the intake of tender and B2B opportunities, supplier availability checks, and comparisons of price, margin, and risk. The team receives prepared information to verify before deciding how to proceed.
Before
Collect opportunities, check suppliers, and assemble comparisons manually.
After
Review a prepared opportunity brief with supplier options and unresolved questions.
We built an AI-assisted filter for collection and alarm events from vehicle cameras, helping a waste management platform screen likely false events. The workflow receives ongoing monitoring and model tuning.
Before
Review incoming camera events, including irrelevant or incorrectly triggered events.
After
Use an AI-assisted filtering step to screen likely false events before review.
Operations teams lose time copying information, checking several systems, processing documents, preparing reports, looking up supplier or customer details, and moving work between applications. DapperAgent automates that preparation so people can review the result and decide what happens next.
THE OPERATIONAL PROBLEM
Your team should make decisions, not assemble information.
We use AI where information needs interpretation and conventional software where rules, permissions, and predictable execution matter. The automation boundary is defined around the process, not around using AI everywhere.
AI for interpretation.Software for control.Humans for consequential decisions.
Clear decision boundaries
Define which actions can run automatically and which require review.
Visible operation
Make workflow status, exceptions, and failures inspectable.
Maintainable delivery
Treat integrations, documentation, deployment, and ongoing changes as part of the work.
WORKFLOW EXAMPLE
Manual preparation versus prepared work
The same procurement decision stays with the team. DapperAgent prepares the information and surfaces exceptions before review.
From manual preparation to prepared work.
The decision remains with the team; the preparation becomes a controlled workflow.
01 / BEFOREManual preparation
Manual preparation
Staff interpret the opportunity, check suppliers, and assemble the comparison step by step.
Opportunity
5 sequential steps4 manual handoffs
Staff gather the opportunity, check supplier sources, and assemble the comparison before the team can review a decision.
Click a tool to inspect
02 / WITH DAPPERAGENTCoordinated preparation
Prepared work
Automated intake starts independent supplier checks, then collects the results into a review-ready brief.
Opportunity received
3 supplier checks in parallel1 prepared comparison
Automated intake prepares the work. Independent supplier checks run together, and the team receives one brief to verify before deciding.
Click a tool to inspect
Same work. Different execution model. Animation timings are illustrative.
HOW WE WORK
Understand, automate, deploy, improve.
We begin with a defined operational problem, agree what success looks like, and scope the work before implementation.
01
Understand
Map the current process, manual effort, systems, exceptions, and the result worth improving.
Typical outputs
Process map
Automation boundary
Success criteria
02
Automate
Build the agreed workflow, connect the required systems, and add validation and review points.
Typical outputs
Working workflow
System integrations
Failure behavior
03
Deploy
Prepare the implementation for operational use with permissions, testing, documentation, and observability.
Typical outputs
Production deployment
Acceptance checks
Operating notes
04
Improve
Monitor the workflow, investigate issues, and adapt it as systems and business requirements change.
Typical outputs
Monitoring and maintenance
Issue investigation
Prioritized improvements
Exact deliverables and support arrangements are agreed in the project scope.
FOUNDER-LED ENGINEERING
Founder-led engineering, from scope to support.
Vadym Sushkov leads each engagement and is responsible for scoping, implementation, and ongoing support. He brings 7+ years of software engineering and production development experience.
His background covers backend systems, APIs, cloud infrastructure, and production integrations. AI is used carefully inside software built around the client’s operational process.
Production development
Backend systems, APIs, cloud infrastructure, and production integrations.
System integration
Automation built around the systems and operational constraints already in place.
Controlled AI use
AI is assigned specific interpretation tasks while software and people control consequential actions.
Practical questions before you start
The technical and commercial details are agreed for each workflow. These answers explain how we approach the first conversation.
What should we automate first?+
The assessment considers repetition, volume, input quality, exceptions, system access, and business value. The best first workflow is useful enough to matter and bounded enough to evaluate clearly.
Do we need to replace our existing software?+
No. We start with the systems your team already uses, subject to their integration capabilities, available access, and permissions.
Does every workflow need AI?+
No. Conventional code handles predictable rules and data movement. AI is used only where interpretation of documents, messages, images, or other unstructured information is useful.
What happens when a workflow fails?+
Exception handling and recovery behavior are agreed for the specific workflow. We define what should stop, what may be retried, and what information people need to investigate or continue the work.
What determines the scope and cost?+
The main factors are the systems involved, input complexity, exception handling, evaluation needs, deployment requirements, and the maintenance arrangement.
What happens after launch?+
Ongoing support can include monitoring, issue investigation, maintenance, and prioritized improvements. Its exact scope is agreed separately or included in the engagement scope.
START A CONVERSATION
Bring us one repetitive workflow.
Tell us where work gets stuck, which systems are involved, and what your team handles manually. We’ll discuss whether automation is a sensible next step.
