App of the Week: Intersect AI and the brain of the AI stack

Disclosure: AI App Hunters is sponsored by Intersect AI.

Most companies do not have an AI problem. They have a too many AI tools problem. A chatbot here, a notetaker there, an automation platform nobody owns, and data scattered across a dozen systems. Each tool is clever on its own. Together they do not think.

This week's pick is not an app you sign up for. Intersect AI is the studio companies call when they want the tools to work as one system, and its signature move is building a custom intelligence layer: the brain that sits on top of the stack, understands the data and decides what happens next.

Key takeaways

• What it is: an AI consulting and development studio (Singapore, Sydney, Dubai, Stockholm) that designs, builds and deploys agents into live operations.
• The big idea: keep the best off-the-shelf tools, then add a custom intelligence layer that unifies data and coordinates agents across them.
• Proof point: a global brand's marketing across 12 countries, 4 currencies and 5 platforms. Reported results: 15 hours saved per person per week and 12.7% lower acquisition cost.
• Best for: mid-market and enterprise teams that want AI built into existing systems, not another pilot.

The case: a marketing team drowning in its own stack

A global brand ran influencer campaigns in 12 countries, across 4 currencies and 5 platforms. The tools were there. The coordination was not.

The team spent hours every week reading reports, building plans from historical data and chasing influencers and suppliers across email, Instagram, TikTok and WhatsApp. Every market had its own spreadsheets. Decisions were reactive, made after results came in rather than before money went out. In Intersect AI's words, the fragmented process "slowed execution and blocked strategic focus".

Buying one more tool would not fix that. The stack needed a brain.

Step 1: Discover, find where AI moves the needle

Intersect AI works in three steps: discover, develop, deploy. Discovery mapped where time and money were leaking: manual reporting, planning from scratch each cycle, and endless back-and-forth with talent. Those became the targets, ranked by value rather than by how exciting the technology looked.

Step 2: Develop, build the stack around a brain

Here is the architecture, in plain terms. Think of it as three layers.

Layer 1: a data foundation. Before any agent could be useful, data from every market had to mean the same thing. Intersect AI built cloud pipelines on AWS Lambda and BigQuery to pull in and standardise inputs from all 12 markets and 5 platforms. One source of truth, instead of twelve versions of it.

Layer 2: the intelligence layer (the brain). On top of that foundation sits the custom part, a multi-agent operating layer built with LangChain and custom orchestration. Its agents:

• Analyse reports automatically instead of people reading them line by line.
• Forecast budgets and outcomes with predictive models (Python, TensorFlow, scikit-learn), so plans look forward, not back.
• Write campaign briefs with minimal human input.
• Decide what should happen next and hand the work to the right agent.

This is the piece no off-the-shelf app provides. It holds the context of the whole operation, every market, budget and creator, and turns it into decisions.

Layer 3: the hands, agents that act in the tools people already use. Communication agents engage suppliers and talent directly through the WhatsApp Business API, Instagram Graph API and TikTok integrations, plus email. The team did not have to learn a new inbox. The brain reached into the channels where the work already happened.

   Channels & tools         WhatsApp · Instagram · TikTok · Email
          ▲
   Agents (the hands)       communication agents, brief writers
          ▲
   Intelligence layer       multi-agent orchestration (LangChain + custom)
   (the brain)              analysis · forecasting · planning · routing
          ▲
   Data foundation          AWS Lambda + BigQuery pipelines, 12 markets

Step 3: Deploy, put it into daily operations

Plenty of AI projects die as impressive demos. Intersect AI's model ends with deployment and change management: integrating the system into daily work and training the people who rely on it. The goal is a team that runs on the new system on a normal Tuesday, not a pilot that gets presented once.

The results

Intersect AI reports three outcomes:

Fifteen hours is almost two working days a week, per person, handed back for strategy and creative work.

Why the "brain" approach works

The lesson travels well beyond marketing. Off-the-shelf tools are excellent at their own job: Claude, ChatGPT and Gemini for reasoning and writing, Microsoft Copilot inside Office, n8n for automations, Glean for company search. What they do not do is share one understanding of your business.

An intelligence layer fills that gap:

1. One view of the data, so every agent works from the same facts.
2. Orchestration, so agents hand off work instead of duplicating it. Frameworks like LangChain, LangGraph and CrewAI are the building blocks. The design is the hard part.
3. Platform freedom. Intersect AI is platform-agnostic, building on Azure, AWS, Google Gemini, Anthropic, OpenAI, Copilot and Amazon Bedrock, and connecting to Salesforce, HubSpot, SAP, ServiceNow, Slack and Teams. When a better model ships, you swap a part instead of rebuilding the brain.

Who should talk to Intersect AI

• You have several AI tools but no system tying them together.
• You want AI agents in live operations, connected to your CRM, ERP or service desk.
• You are unsure where AI will pay off and want a strategy before spending on builds.
• You need governance, security and training, not only code.

If you want a single ready-made app for one task, start with the directory or our free AI Tool Finder instead.

What else Intersect AI offers

Beyond custom builds, Intersect AI offers AI strategy, data foundations, change management, an agentic workforce practice, a 90-day AI enablement programme, and a Talent Hub of vetted AI engineers and agent builders. Published work also includes HR compliance and hospitality projects.

The verdict

Intersect AI earns App of the Week for an unusual reason: what it delivers is not an app, it is the thing that makes your apps add up. If your AI stack feels like a drawer full of gadgets, the intelligence-layer approach in this case study is a clear model for turning it into one system that thinks, plans and acts.

See the full Intersect AI listing, read our guide to building vs buying custom AI agents, or browse past picks in App of the Week.