Enterprise AI
Solutions
AI infrastructure for enterprise teams: SOC 2, HIPAA, GDPR compliant. Secure systems that integrate with your existing stack — CRM, ERP, data warehouses — without compromising compliance or scalability.
Enterprise AI Capabilities
Four ways enterprise teams use AI.
Document Intelligence
Automatic data extraction from contracts, invoices, reports, and legal documents. Classification, summarization, and semantic search across millions of documents.
Process Automation
Automation of workflows across multiple systems, with human approvals and rule-based decisions.
Decision Support Systems
Predictive analytics, recommendations based on historical data, and risk models that help teams make better decisions, faster.
Enterprise Integration
Direct connection with CRM, ERP, databases, internal APIs, and legacy systems. AI works where your team already works, without painful migrations.
Our Process
A process that reduces risk and delivers value early.
Enterprise Discovery
We analyze your current processes, systems, data, and business objectives. We identify high-impact opportunities and define success metrics.
Architecture Design
We design the technical solution: AI models, data flow, integrations, security, and scalability. Documentation first, then code.
Phased Deployment
We deploy in phases. Each phase produces something you can use. We scale gradually and adjust based on real data.
Enterprise Use Cases
AI for problems enterprise teams actually face.
Knowledge Management
Instant access to distributed institutional knowledge. Semantic search, auto-generated wikis, and context retrieval that eliminates knowledge loss when employees change teams.
Compliance Automation
Continuous regulatory monitoring, automatic document review against internal policies, audit report generation, and proactive non-compliance alerts.
Customer Intelligence
Sentiment analysis, churn prediction, dynamic segmentation, and personalized recommendations based on real customer behavior, not assumptions.
Operations Optimization
Demand forecasting, optimal resource allocation, downtime reduction, and automation of administrative tasks that consume hours of skilled personnel.
Enterprise AI That Ships
We build systems that run in production. They scale, stay secure, and produce results.
Enterprise Security
Encryption, role-based access control, full auditing, and SOC 2, HIPAA, and GDPR compliance. Your data never leaves your control.
Real Scalability
Architecture built to grow from 100 to 100,000 users. Distributed processing, intelligent caching, and performance optimization.
Integrations that work
We connect to Salesforce, SAP, HubSpot, Slack, and more. Implementation in days.
Monitoring and Observability
Real-time dashboards, performance metrics, automatic alerts, and complete audit logs. You know exactly what the AI is doing and why.
Pricing
From specific area pilots to full enterprise implementations.
Starter
Specific area, high impact
Pilot for a single business area. Document intelligence or automation of one key process. Results in 4-6 weeks.
Advanced
Multiple systems, full integration
Multiple departments, CRM and ERP integration, complex process automation with human-in-the-loop.
Enterprise
Full organization, complete scalability
AI across all your systems and departments.
Managed Retainer
Maintenance, monitoring, iteration, and priority support for AI systems in production.
Frequently Asked Questions
How does enterprise AI work?
Enterprise AI integrates language models, document processing, and automation systems to execute complex workflows within the organization. Unlike generic solutions, it adapts to existing processes, meets security standards, and scales with business demand.
What are the main benefits of enterprise AI?
30-50% reduction in operational costs, improved data accuracy, automation of repetitive tasks, instant access to institutional knowledge, better data-driven decision-making, and scalability without proportional headcount increase.
How long does it take to implement an enterprise AI solution?
Discovery phase: 1-2 weeks. Architecture and design: 1-2 weeks. Development and integration: 4-8 weeks. Testing and deployment: 2-4 weeks. Total: 8-16 weeks depending on complexity and number of systems to integrate.
Is enterprise AI safe for confidential data?
Yes, with the right architecture. We implement: on-premise or private cloud processing, encryption at rest and in transit, role-based access control, full action auditing, SOC 2, HIPAA, and GDPR compliance, and models that do not retain training data.
What types of documents can enterprise AI process?
PDFs, contracts, invoices, emails, databases, spreadsheets, presentations, meeting minutes, financial reports, legal documents, and any structured or unstructured format. The system learns to extract relevant fields regardless of format.
How much does enterprise AI implementation cost?
It depends on scope. A pilot project for a specific area starts at $15,000 USD. Full implementations with multiple systems and departments start at $50,000 USD. Large-scale enterprise projects with complex integrations start at $120,000 USD.
What systems can be integrated with enterprise AI?
CRM (Salesforce, HubSpot), ERP (SAP, Oracle, NetSuite), email systems, communication platforms (Slack, Teams), databases (PostgreSQL, MySQL, MongoDB), internal APIs, document management systems, and any platform with an available API.
What happens if enterprise AI makes mistakes?
We implement multiple layers of protection: automatic result validation, human-in-the-loop for crítical decisions, full action logging for auditing, confidence thresholds with automatic escalation, and continuous feedback to improve accuracy. AI is an assisted tool, not a complete replacement for human judgment.
Ready to Build?
Book a call. We will look at your systems and figure out what AI can do for you.
Book a Strategy Call