AI intelligence

connects all of your company’s applications to a central Company AI Brain—an intelligent system capable of performing high-value tasks across all knowledge-based domains such as HR, strategy, finance, operations, and more. This AI Brain operates as a team of world-class AI employees, each with domain-specific expertise and role-based permissions. These AI employees collaborate with each other and with human team members to deliver real-time, context-aware insights, decisions, and actions. The AI Brain has persistent memory, pulling data from all connected apps and internal company data sources. This ensures that every recommendation, analysis, or decision is rooted in your actual company context—not generic information from AI without company specific context.

Top AI intelligence Use Cases
01.

AI Marketing Strategist

Example of query:
“Recommend a marketing strategy based on the most effective channels used by our competitors. Take into account our existing marketing plans, financial constraints, and any relevant internal data.”

What the AI does:

- Analyzes real-time competitor performance and benchmarks top marketing channels.
- Reviews internal data: budget limits, campaign performance, current strategy, target segments, etc.
- Synthesizes all inputs into a custom, actionable marketing strategy.
- Outputs a channel-specific plan with justifications and potential risks.
- Optionally drafts the plan directly into your company’s project management tools.

02.

AI Strategy Advisor

Example of query:
“Evaluate our expansion options into new markets. Factor in our current operations, revenue data, and competitor presence. Recommend a go/no-go decision and ideal entry strategy.”

What the AI does:
- Market analysis with real-time external data.
- Financial modeling using company data.
- Strategic SWOT with recommendation and risk matrix.

03.

AI HR Planner

Example of query:
“Identify roles we should hire in the next quarter. Consider team workloads, upcoming projects, employee performance, and budget constraints.”

What the AI does:
- Reviews task allocation from project management systems.
- Analyzes team performance data. - Balances financial limits with capacity planning.
- Generates hiring roadmap or internal reallocation plan.

04.

AI Financial Analyst

Example of query:
“Forecast our cash flow for the next six months. Include delayed receivables, upcoming expenses, and variable costs. Suggest corrective actions if a cash crunch is predicted.”

What the AI does:
- Aggregates data from accounting, invoicing, and expense systems.
- Projects future cash flow with scenario modeling.
- Recommends cost-saving measures or revenue optimizations.

05.

AI Product Manager

Example of query:
“Based on customer feedback, support tickets, and usage analytics, recommend top 3 features to prioritize in the next sprint.”

What the AI does:
- Clusters customer input from multiple sources (CRM, surveys, support tools).
- Evaluates feature value vs. development effort.
- Creates an impact-effort matrix and suggests roadmap updates.

06.

Document Processing

- Extract key data from invoices, contracts, or forms.
- Classify documents and route them to the correct folder or person.
- Use AI to flag unusual patterns or missing info.

07.

Recruiting & HR Workflow

- Screen resumes based on job criteria and experience.
- Summarize candidate profiles for hiring managers.
- Automate onboarding workflows with checklists and welcome messages.

08.

Internal Task Automation

- Auto-generate task lists from emails or meeting notes.
- Assign and schedule tasks based on priority and availability.
- Notify teams of due dates or blockers using AI monitoring.

09.

Finance & Expense Management

- Match receipts with expenses automatically.
- Flag irregular transactions or spending behavior.
- Draft financial summaries or monthly budget reports.

10.

Customer Feedback Analysis

- Analyze reviews, surveys, or NPS comments.
- Identify trends, pain points, or product improvement ideas.
- Segment feedback by sentiment or topic.