DevsService
Menu

S-01 / Service

AI integration & agents

Add AI to the systems you already run — document parsing, assistants and agents that work with your data, with guardrails, cost control and no vendor lock-in.

Discuss your project Book a 30-min call

What this solves

Most businesses already have the data an AI feature needs — in invoices, emails, tickets, reports and spreadsheets. The hard part is not calling a model; it is connecting it to real records, making its output reliable, and keeping costs predictable.

How it is built

  1. Pick one measurable use case. For example: “extract line items from supplier invoices into the ERP”, with a target accuracy and the hours it should save.
  2. Prototype on real data. A small evaluation set from your documents shows quickly whether the approach works and what it will cost per document.
  3. Integrate properly. The feature becomes part of your system: queues, retries, audit logs, human review for low-confidence cases.
  4. Measure and tune. Accuracy, latency and spend are tracked, and prompts or models are adjusted as data changes.

Typical results

  • Manual data entry replaced by review-and-approve
  • Faster answers for staff searching internal documents
  • AI features that keep working when a provider has an outage

Questions

Q01Do we need to replace our current system to add AI?

No. In most projects AI is added as a service next to your existing software, connected through its API or database. Your team keeps the tools it knows.

Q02Which AI model do you use?

The one that fits the task and budget. Systems are built provider-agnostic, so the model can be switched between OpenAI, Anthropic, Google Gemini or others without rewriting the product.

Q03How do you handle sensitive data?

Data access is limited to what each feature needs, providers are chosen with appropriate data-processing terms, and outputs pass validation and guardrails before they reach users or records.

Q04How do we know the AI part actually works?

Every AI feature ships with an evaluation set built from your own examples, so accuracy is measured before launch and tracked after it.

Other services

Next step

Have a process that should run itself?

Describe the task in a few lines and attach any files — or book a 30-minute call to talk it through.

Start a projectBook a 30-min call