# AI agents for software and platform companies.

> Agents, data platforms and AI features for software and platform companies, built into the product and the tools the team already uses.

Support and sales that scale without more headcount.

Agents, data platforms and AI features for software and platform companies, built into the product and the tools the team already uses, with people approving what matters.

- 01 Every product needs AI features Customers expect assistants, search and automation inside the product, and roadmaps were not planned for it.

- 02 Support grows with every customer Tickets, onboarding questions and account requests rise faster than the team.

- 03 Engineering time leaks Access requests, reports and internal questions pull engineers away from the roadmap.

## Agents across the business.

The agents Twistag builds most often for software and platform companies, from pipeline to reporting. Each one keeps a person on the decisions that matter.

### 01 · Sell

#### Account research agent

Builds a brief on each target account from public sources and the CRM, and drafts a first outreach.

#### Proposal drafting agent

Assembles a first proposal from past wins, pricing rules and the client brief, with sources for every claim.

### 02 · Close

#### Contract review agent

Compares each clause with the company’s playbook and drafts suggested changes with the reasoning.

### 03 · Support

#### Reply drafting agent

Classifies each message, pulls up the account and drafts a reply in the house voice, checked against written guidelines.

### 04 · Engage

#### Member engagement agent

Segments fans or users by behaviour and drafts tailored campaigns for each group.

### 05 · Run

#### IT service desk agent

Resolves access requests, resets and common issues within policy, and routes the rest with full context.

### 06 · Measure

#### Reporting agent

Answers business questions in plain language from the data warehouse, showing the numbers and the query behind them.

## Software work, in numbers.

## Three steps from question to daily use.

- 01 Find where it pays back 2–4 weeks · from €5,000 Map the business from pipeline to reporting, score each process on value, effort and risk, and leave with a shortlist and a 90-day plan.AI Readiness Sprint→

- 02 Build the first agent 6–12 weeks One agent on real data, connected to the CRM, helpdesk, product or data systems already in place, with people approving each action.Multi-agent Systems & Agent Engineering→

- 03 Scale and govern Ongoing More agents on one platform, each with its own access rights, EU AI Act risk class and audit log.Agent Governance & Security→

## About AI in software companies.

Which processes should get an agent first?

Can Twistag build AI features into the product itself?

How long until the first agent runs every day?

Which systems do the agents connect to?

How does the EU AI Act apply to software companies?

Who owns what is built?

## Let’s talk.

Tell us about the company and what it needs. A senior lead takes it from there.

A senior lead replies within one working day.

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Source: https://twistag.com/industries/software-platforms