AI Agents in Development: the lever competitive IT firms are already using on tenders

RFPs are changing in nature. In 2026, CIOs and IT procurement teams are no longer just looking for a team that codes — they want a team that delivers faster, with less risk, demonstrating a concrete AI approach.

What we're seeing in the field

On recent RFPs, IT firms that have integrated AI agents into their development model are proposing timelines 30 to 50% shorter on development phases. Not estimates — contractual commitments.

How AI agents change the RFP equation

Compressed timelines without additional headcount

With AI agents supervised by a framework like Katappult, a senior developer generates in one day what used to take a week: entities, REST API, integration tests, migrations. The RFP pricing reflects this reality.

More competitive pricing without sacrificing margins

The workload reduction comes from automating repetitive tasks (boilerplate code generation, tests, documentation). Margins stay intact — timelines shrink.

A differentiating response

Presenting a structured AI approach in an RFP response is no longer a "plus" — it's expected. Buyers are eliminating vendors who don't mention it.

What Katappult brings to IT firms

Katappult is an AI agent supervision framework built for client project contexts: controlled architecture, generated tests, 100% owned code. Your teams stay in control, agents handle the repetitive work.

• Spring Boot + React + Flutter generation on demand
• Source code versioned in your client's Git repository
• Production-ready architecture from the first iteration
• Compatible with Claude Code, GitHub Copilot, Cursor

The first step

Integrate Katappult on a pilot project. Measure the gain on a development phase. Price it into your next RFP. The delta will be visible from the first month.