AGENTIC WORKFORCES

We design, build and deploy custom agentic workforces for enterprise clients

We partnered with a global brand to replace slow, fragmented workflows with an AI platform that analyzes engagement in real time, predicts performance, and unlocks faster, smarter campaign execution across markets.

Flowchart showing automation process with steps: Listen for incoming events, AI Agent with connections to OpenAI Chat Model, Window Buffer Memory, Generate image in Dalle, Send back an image, and Send final reply with success and error outcomes.

We integrate your CRM, ERP, databases, APIs, and cloud services into a unified data ecosystem.

The problem

In most organisations, highly capable teams spend a significant portion of their time on manual, repeatable work that modern AI can automate. Tasks like triaging emails, moving data between systems, preparing reports, coordinating approvals. By understanding how these workflows actually run and applying the right AI technology, this work can be automated end to end, freeing teams to focus on higher value activities like decision making, problem solving, and driving the business forward.

The Problem

Highly skilled teams spend hours on repetitive, manual tasks
Email triage, reporting, approvals, and data handoffs drain productivity
Workflows are fragmented across tools with little visibility
Decision-making is slowed by outdated or incomplete information

Our Solution

Design agentic workflows that automate end-to-end processes
AI agents handle triage, coordination, and data movement in real time
Systems integrate directly into existing tools and platforms
Teams reclaim time for higher-value work: decisions, problem-solving, growth

How Intersect AI can help

In most organisations, highly capable teams spend too much time on manual, repeatable tasks such as email triage, data handoffs, reporting, and approvals. By understanding how these workflows run and applying the right AI technology, this work can be automated end to end, freeing teams to focus on higher-value activities like decision-making, problem-solving, and moving the business forward.

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Discover

We identify your highest-value AI opportunities by analysing operations, data flows, and goals, revealing where AI boosts revenue, accuracy, productivity, and cost efficiency, supported by a clear execution roadmap.

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Develop

Our expert team builds customised, enterprise-grade AI solutions with strong governance, security, and performance, delivering not just a proof-of-concept but a reliable, real-world pilot ready for scale.

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Deploy

We integrate AI into your organisation, training teams, supporting adoption, and refining through continuous feedback, ensuring measurable impact, sustained performance, and long-term competitive advantage.

Governance, quality & security built In

An agentic workforce goes beyond traditional automation. Instead of isolated scripts or single-task bots, AI agents collaborate, make decisions and adapt in real time — delivering compounding value across your organisation.

This includes:

Compliance-aligned governance

Observability dashboards

Automated quality checks

Role-based access and permissions

Dashboard of CallAI showing total calls as 2,540, success rate 85%, average duration 4:30, call volume trend graph, status distribution donut chart, and top workflows by usage table with call counts, success rates, and status.

Integrates with all your apps.

Our AI solutions connect directly with the platforms you already rely on. We integrate across data, cloud, and business systems to ensure AI fits naturally into your stack and workflows.

Questions & Answers

Strong decisions start with clarity. These Q&As give you a quick understanding of how we work, what to expect, and how we help you succeed with AI.

Why do I need a data foundation before investing in AI?

AI relies entirely on the quality of your data. Without consistent, clean, and connected data, AI models produce unreliable outputs. A data foundation ensures your data is accurate, trustworthy, and structured in a way that supports scalable AI.

How long does it take to build a data foundation?

Timelines vary depending on your current maturity, number of data sources, and governance needs. Most organisations see a functional foundation in 6–12 weeks, with continuous improvement over time.

Do we need a cloud data warehouse to get started?

Not always, but it’s strongly recommended. Cloud platforms simplify integrations, improve scalability, and lower operational costs. We work with your existing tools if needed, but a modern cloud warehouse unlocks far more potential.

What does “data governance” actually include?

Governance covers everything from ownership and access control to data quality rules, cataloging, lineage, and compliance. It ensures your data stays reliable, auditable, and secure — essential for any AI system.

How do you connect all our existing data sources?

We assess each system, map its structure, and build automated pipelines that clean, transform, and centralise your data. This eliminates manual extraction and creates a single, consistent source of truth across the organisation.

Let’s talk about your AI use case

Have a business challenge in mind? We’ll help you assess feasibility, define the right approach, and build a clear path to execution.