B2B SaaS Platforms

The Problem

Most SaaS teams hit the same walls when they try to build AI in-house:

• It takes 6-12 months before anything is production-ready

• Scope rapidly expands into Orchestration, Security, Integration & more

• Your engineering team gets pulled away from core product work

• You ship something that looks like a demo, not a product

Your customers expect AI that actually does things for them. Not a chatbot that reads the docs.

The Solution

strikeUp gives you the AI infrastructure layer so you can ship real AI functionality into your product, fast.

• Production-grade architecture designed for speed, accuracy, and reliability

• Multi-step workflows that complete tasks, not just answer questions

• Full control over brand experience, tone of voice, and UI

• Enterprise-grade security with guardrails, data masking, and tool policies built in

• Analytics to understand what users are doing with your AI

You focus on your product. We handle the AI infrastructure.

How It Works

1. Map your APIs
   Import your existing API docs in seconds and strikeUp generates the Toolkits for agents to work with.

2. Configure your AI
   Set up agents, skills, and behaviours. Define what the AI can do, what data it can access, and how it behaves. No AI expertise required.

3. Style and embed
   Customise the UI and Persona to match your brand. Drop a single script tag into your product. Your AI is live.

4. Monitor and improve
   Track usage, feedback, and AI activity. Iterate based on real user behaviour.

Key Capabilities

• Intelligent orchestration that routes queries to the right agent

• Multi-step workflows that take action inside your product

• Widget embed with full UI customisation

• Brand tone of voice and persona control

• Guardrails and tool policies for safe, predictable behaviour

• PII masking and data privacy by default

• AI activity analytics and user feedback tracking

• Human handoff to support and sales teams

Example Outcome

Before:

Your AI project has been in development for four months. It answers basic questions but is often inaccurate and it can't execute complex actions. Users bounce after one interaction.

After:

You ship an AI copilot that completes workflows, guides users through complex tasks, and hands off to your support team when needed.

Result:

Higher engagement, reduced support load, and AI that feels like a product feature, not an experiment.

Best For

• B2B SaaS platforms that want to be AI-first

• Product teams under pressure to ship AI fast

• Companies that need production-grade quality, not a prototype

• Teams scaling without expanding engineering headcount