AI systems, automation and integration
AI systems wired into everything you run.
We design, connect and run AI agents and automation across your ERP, CRM, data and documents, and stay accountable in production.
Connects to
- SAP
- Business Central
- Dynamics 365
- Salesforce
- SharePoint
- Microsoft 365
- Google Workspace
- Bank portals
- SQL and data lakes
- REST and SOAP APIs
- Legacy apps via RPA
Your data lives in a dozen systems. We make it work together.
Sources connect into one AI layer with guardrails, and the work comes out the other side.
ERP
SAP, Business Central
CRM
Dynamics 365, Salesforce
Documents
SharePoint, file shares
Email and chat
Microsoft 365, Google
Banking
Portals and statements
Data
SQL, data lakes, BI
Legacy apps
No API: robots
External portals
Suppliers, registries
KT Sparks AI layer
- AI agents
- Retrieval (RAG)
- Orchestration
- Guardrails and audit
Transactions posted
Into ERP and accounting, reconciled
Decisions with sources
Every answer cites its evidence
Reports that build themselves
Daily, not at month-end
People in the loop
Approvals and alerts in Teams
What we build
Complex AI systems, built to run.
Six capabilities, combined per problem. Most engagements use three or more of them together.
Agents that read, reason and act across your systems, with a person approving what matters.
- LLMs
- Tool use
- Approvals
- Copilot
- Teams
Agents that read, reason and act across your systems, with a person approving what matters.
- LLMs
- Tool use
- Approvals
- Copilot
- Teams
Built for the person who owns the problem
Pick your role. See what we usually fix first, and the proof that it works.
Close the month without the overtime.
- Invoices and statements re-keyed by hand
- Reconciliations that only tie on the third attempt
- A month-end that depends on two people being in the office

97%
of documents go through uncorrected
AI That Reads and Posts Accounting Invoices
Proof, in numbers we measured
AI platforms, audit assistants, ERM systems and automation, anonymised.
Results from recent client engagements
From first call to production in weeks
Every engagement follows the same phases. The early ones are cheap on purpose: that is where a bad idea gets caught.
- 01
2-4 weeks
Discovery
Event logs, interviews and system access. We establish what the process costs today.
- 02
1-2 weeks
Process mapping
As-is and to-be, detailed enough to build from and honest about exceptions.
- 03
4-12 weeks
Build & test
Implementation against real edge cases, not the happy path.
- 04
1-2 weeks
Handover
Runbook, training and an owner. Managed service optional, never assumed.
What is manual work costing you?
Move the sliders to your numbers. It is a first estimate, not a quote.
Assumes 80% of items are handled without a person and 160 working hours per role a month. A scoping call replaces this with measured data.
64
hours back every month
€16,896
per year in handling cost
0.4
full-time roles freed for other work
Ways to start
Fixed scope, fixed fee, and something you keep whether or not you continue with us.
Why teams choose KT Sparks
More accountable than a freelancer. Faster than a large integrator.
Who does the work
KT Sparks: The senior people who scoped it
Large integrator: Junior staff after the sale
Freelancer: One person, if available
First result
KT Sparks: Weeks, starting with a fixed-scope sprint
Large integrator: Quarters, after procurement
Freelancer: Fast, until the scope grows
Platform credentials
KT Sparks: UiPath, n8n, Microsoft and Google partner
Large integrator: Broad, rarely deep
Freelancer: Rarely certified
After go-live
KT Sparks: Monitored and maintained on a retainer
Large integrator: A separate support contract
Freelancer: Gone when the contract ends
Pricing
KT Sparks: Fixed scope or named rate tiers
Large integrator: Day rates plus change requests
Freelancer: Low rate, open-ended hours





