Enterprise AI solutions that turn your data into decisions
FOXMINDS builds secure AI assistants, copilots and AI agents on top of the systems you already run: SQL databases, ERP, CRM, SharePoint and Microsoft 365. Your teams get instant answers, alerts and automated workflows, while your data stays in your control.
- AI agents
- Knowledge assistants
- Microsoft 365 Copilot
- Azure AI
- Document intelligence
- Predictive analytics
Your business already contains the intelligence
Most companies don’t need more data. They need the data they already have to work together and answer questions.
Ask a simple question such as “what did this client earn us last quarter, net of discounts and support costs?” and the answer usually sits in four different systems and a spreadsheet. Someone spends a day pulling it together, and by then the decision has been made without it.
The FOXMINDS Intelligence Layer changes that. We connect securely to your existing systems, build a unified index of your data and documents, and put AI reasoning on top, so the answer takes seconds and every step is governed and audited.
How many systems does it take to answer your most important business question today?
If the answer is more than one, AI can help.
Secure access to your data. Intelligence built on top.
Step 1: you grant secure, read-only, least-privilege access to selected data sources. Step 2: we build the intelligence layer with connectors, a unified index, AI reasoning and agents, all governed and audited. Step 3: employees, managers and executives get answers, insights, alerts and approved automated actions.
1Secure access to your data sources
- SQL databases
- ERP
- CRM
- SharePoint
- Microsoft 365
- APIs
- Internal documents
- Operational apps
2We build the intelligence layer
3Your teams get answers & action
- Employee assistantInstant answers from all systems
- Manager copilotKPIs, anomalies, summaries
- Executive decision supportInsights and recommendations
- Workflows & alertsReports, triggers, approved actions
AI services for every part of the business
Enterprise knowledge assistant
A secure ChatGPT-style assistant for your staff that answers from your documents, policies, contracts and data, with sources cited and permissions respected.
AI agents & agentic workflows
Agents that carry out multi-step tasks: reconcile records, triage tickets, prepare reports or route approvals, always with a human approval step.
Copilots in Microsoft Teams
Role-specific copilots for sales, operations, finance and HR inside Teams and Microsoft 365, including Microsoft 365 Copilot readiness and rollout.
Document & contract intelligence
Extract terms, dates and obligations from contracts, invoices and forms; track renewals and penalties automatically.
KPI monitoring & anomaly alerts
Continuous monitoring of sales, operations and finance KPIs, with alerts to the right person when something drifts.
Automated reporting & executive briefings
Scheduled reports and a daily briefing that combine data from every system into one summary with recommended actions.
Forecasting & predictive analytics
Demand, capacity and cash-flow forecasts built on your historical data, refreshed automatically.
AI readiness assessment
A short assessment of your data, infrastructure, security and governance with a prioritized AI roadmap and business case.
AI governance & security
Policies, access controls, data loss prevention and audit for safe AI adoption, aligned with your regulators.
Connect → Understand → Analyze → Automate → Act
- Secure links to SQL, ERP, CRM, SharePoint, Microsoft 365, APIs, documents and platforms
- Read-only first, least privilege
- Index documents, contracts and emails
- Map clients, projects, assets and contracts across systems
- Correlate sales, operations and finance
- Detect trends, anomalies and risks
- Forecast demand and capacity
- Scheduled reports and summaries
- KPI alerts to the right person
- Workflow triggers via APIs
- Recommend next best actions
- Execute approved actions
- Human-in-the-loop, full audit trail
One intelligence layer, three ways to use it
Each of these questions needs data from more than one system, which is exactly why it is hard to answer today.
EmployeesAI assistant
ManagersAI copilot
ExecutivesDecision support
AI use cases built around how your company makes money
We map AI to your value chain: winning business, delivering it, keeping systems running, getting paid, managing contracts and leading the company. You rank them; your ranking selects the pilot.
| # | Function | Use case | What the AI does | Business value |
|---|---|---|---|---|
| 1 | Sales & revenue | Proposal & pricing assistant | Checks availability, pricing and past deals; drafts proposals in minutes | Faster response to briefs, higher win rate |
| 2 | Operations | Automated operational reporting | Reconciles operational logs with bookings or orders and generates client reports | Less manual reporting, fewer disputes |
| 3 | IT & field operations | Asset & system health monitoring | Watches telemetry, flags faults, opens tickets and alerts the right team | Less downtime, faster resolution |
| 4 | Finance | Billing & revenue reconciliation | Matches orders, invoices and payments across ERP and CRM | Faster close, less revenue leakage |
| 5 | Legal & contracts | Contract intelligence | Reads contracts; tracks obligations, renewals and penalties | No missed deadlines, better negotiations |
| 6 | HR & internal support | Policy & knowledge assistant | Answers staff questions from policies, procedures and manuals in Teams | Fewer repetitive requests to HR and IT |
| 7 | Leadership | Daily executive briefing | Combines KPIs across systems into a morning summary with recommended actions | Faster, better-informed decisions |
Value we commit to measure, not just promise
Indicative targets. In the discovery phase we measure today’s baseline together, agree target KPIs, and report progress against them at every phase.
Secure by design: your data, your control
Data stays in your tenant
Deployed in your own Microsoft tenant, in in-country Azure regions or on-premises. Your data is never used to train public models.
Read-only first, least privilege
We start with read access to the minimum data each use case needs, and widen it only when you approve.
Permissions mirror your roles
Users only see what they are already authorized to see in the source systems.
Human approval for actions
The AI recommends; a person approves before anything is changed or sent.
Full audit trail
Every question, answer and action is logged and reviewable by your IT and compliance teams.
Aligned with regulation
Designed around your policies and local data-protection law, including Lebanon's Law 81/2018 and the UAE PDPL.
Prove value in weeks, scale with confidence
Discovery & data mapping
- Stakeholder workshops
- Data-source and infrastructure inventory
- Use-case prioritization
- Baseline and target KPIs
Proof of value
- Fixed-scope pilot on 1–2 use cases
- Secure link to 2–3 data sources
- Results measured against baseline
- Go / no-go decision
Scale
- More data sources and use cases
- Agents and automated workflows
- Rollout in Teams and Microsoft 365
- Management dashboards
Operate & optimize
- Managed service with SLA
- Monitoring and tuning
- New use cases each quarter
- Quarterly value reviews
AI solutions: frequently asked questions
What AI solutions does FOXMINDS offer?
We build enterprise AI on top of your existing systems: knowledge assistants that answer questions from documents and data, copilots for managers inside Microsoft Teams, AI agents that run multi-step workflows, automated reporting, KPI monitoring and anomaly alerts, document and contract intelligence, and executive decision dashboards.
Do we need to replace our ERP, CRM or databases to use AI?
No. The FOXMINDS Intelligence Layer connects to your SQL databases, ERP, CRM, SharePoint, Microsoft 365, APIs and documents through secure, read-only connectors. Your existing systems keep running exactly as they do today.
Where is our data stored and processed?
Inside your own environment: your Microsoft tenant, an in-country Azure region (for example Azure UAE North in Dubai or UAE Central in Abu Dhabi), or your own servers on-premises. Your data is not used to train public AI models.
How long does an AI project take?
A typical engagement starts with a 2–3 week discovery, followed by a 6–8 week fixed-scope proof of value on one or two use cases. You decide to scale only after seeing results measured against your own baseline.
How much does an enterprise AI solution cost?
It depends on the number of data sources, users and use cases. As a reference, the running cost of a governed AI layer for a mid-sized company can be in the order of one thousand US dollars per month in cloud consumption, plus implementation. We give you a fixed-price proposal after discovery.
What is the difference between an AI assistant, a copilot and an AI agent?
An AI assistant answers questions for any employee from approved data and documents. A copilot works alongside a specific role, such as a sales or operations manager, summarizing KPIs and drafting work. An AI agent goes further: it performs multi-step tasks, such as reconciling records or opening a ticket, and requests human approval before it acts.
Can you deploy Microsoft 365 Copilot and Azure OpenAI?
Yes. We prepare your Microsoft 365 tenant for Copilot (permissions, data governance, sensitivity labels), and build custom solutions with Azure AI services where Copilot alone is not enough, for example when answers need data from ERP, CRM or SQL databases.
Let’s unlock the intelligence in your business
Agree a discovery workshop date and we will come back with a prioritized list of AI use cases, the data each one needs, and a fixed-scope pilot proposal.