Run AI inside your org.
Zero new software

Alomana connects to your existing business applications through 500+ pre-built integrations using secure APIs. Our agents work within your current software ecosystem (Microsoft 365, Google Workspace, Slack, Salesforce, SAP, etc.) without requiring new installations. Users continue working in familiar tools while AI agents automate tasks in the background.

We integrate with 500+ enterprise platforms including: Communication tools (Slack, Microsoft Teams, Email), CRM systems (Salesforce, HubSpot), ERP platforms (SAP, Oracle, Workday), Document management (Google Drive, SharePoint, Confluence), Project management (Jira, Asana, Monday.com), Databases (PostgreSQL, MySQL, MongoDB), and Business intelligence tools. Custom integrations are available for proprietary systems.

Yes. In addition to our 500+ pre-built connectors, we support custom integrations through REST APIs, GraphQL, webhooks, and database connections. Our team works with you to build secure integrations for proprietary or legacy systems, ensuring AI agents can access and process data from any source in your tech stack.

Alomana is model-agnostic and supports all major AI models including: OpenAI (GPT-4, GPT-4o, o1), Anthropic (Claude 3.5 Sonnet, Opus), Google (Gemini Pro, Ultra), Meta (Llama 3), open-source models, and custom fine-tuned models. You can use different models for different tasks based on performance, cost, and compliance requirements. Switch models without changing your workflows.

Alomana agents learn through multiple methods: (1) Initial onboarding with your team to understand workflows and rules, (2) Document analysis of existing procedures and policies, (3) Historical data analysis from your systems, (4) Continuous learning from user feedback and corrections. Agents adapt to changes in your processes over time while maintaining consistency and compliance with your business rules.

Unlike general-purpose chatbots, Alomana provides autonomous AI agents that execute multi-step workflows end-to-end. While chatbots respond to questions, Alomana agents: (1) Access and process data from multiple systems automatically, (2) Make decisions based on business rules, (3) Execute actions across your tech stack, (4) Orchestrate complex workflows involving multiple agents, (5) Operate continuously without human prompting. Alomana is enterprise automation, not conversation.

Security is built into every layer: Enterprise-grade encryption (AES-256) for data at rest and in transit, ISO 27001 certified infrastructure, GDPR and CCPA compliance with data residency options, role-based access control (RBAC) with granular permissions, regular security audits and penetration testing, zero data retention policies (your data stays in your systems), and compliance with industry standards (HIPAA, ISO 27001). All AI processing can be done on-premises or in your private cloud.

Your data remains in your existing systems. Alomana agents access data through secure API connections only when needed to complete tasks. For AI processing, you choose: (1) Cloud processing through SOC2-certified providers with encryption, (2) On-premises deployment in your data centers, (3) Private cloud instances in your AWS/Azure/GCP environment. We offer data residency options for GDPR compliance (EU, UK, US regions available).

Yes. Alomana maintains comprehensive compliance certifications: ISO 27001 certified for information security management, undergoing compliance for SOC 2 Type II for security and availability, GDPR for data processing agreements (DPAs), HIPAA for healthcare organizations (BAA available), CCPA for California privacy requirements. We provide audit logs, data lineage tracking, and compliance reports for your regulatory needs.

Implementation timeline varies by scope: Proof of value: 2-4 weeks (single use case, limited scope), Deployment: 4-8 weeks (1-2 departments, 3-5 use cases), Full enterprise rollout: 6-12 weeks (organization-wide, multiple use cases). Most customers see value within the first month with initial automation. Our phased approach ensures quick wins while building toward comprehensive automation. Time to value is typically 30-45 days for first production use cases.

No coding required for standard use cases. Business users configure agents through our no-code interface, defining workflows with natural language instructions. For advanced customization (custom integrations, complex decision logic, API connections to proprietary systems), technical resources may be helpful, but our team provides support. Most companies successfully deploy Alomana with existing business operations teams—no new technical hires needed.

Comprehensive onboarding includes: Dedicated customer success manager and implementation specialist, Live training sessions for administrators and end users, Documentation library with video tutorials and best practices, Ongoing technical support via chat, email, and phone, Regular check-ins to optimize performance and expand use cases. Post-launch support includes quarterly business reviews, agent optimization recommendations, and access to our customer community for peer learning.

Alomana automates complex knowledge work across functions: Procurement (vendor sourcing, RFP processing, contract analysis, purchase orders), Operations (anomaly detection, process monitoring, capacity planning), Risk management (compliance monitoring, audit preparation, incident response), Data analysis (forecasting, reporting, dashboard generation, anomaly detection), Document processing (extraction, classification, summarization, KPI tracking), Workflow orchestration (multi-step approvals, cross-system coordination). Any repetitive, rules-based process that requires human judgment is automatable.

Alomana agents make complex decisions based on business rules, data analysis, and learned patterns. Examples: Jade agent identifies anomalies in financial data and decides whether to flag for review or auto-resolve, Lens agent extracts KPIs from documents and determines data quality/completeness, Procurement agents evaluate vendor responses against criteria and recommend selections, Flows orchestrator decides which agents to invoke based on context and priority. Decision-making capabilities are configurable—you set guardrails, approval thresholds, and escalation rules.

Agents use multiple error-handling mechanisms: Confidence scoring on decisions (low confidence triggers human review), Exception handling with defined fallback procedures, Automatic retry logic for transient failures, Human-in-the-loop for ambiguous cases, Real-time alerts for critical issues, Audit logs for troubleshooting and root cause analysis. You configure escalation rules and approval workflows. Agents learn from corrections to improve over time. Rollback capabilities ensure data integrity.

Pricing is based on usage and scale: Subscription model based on number of active agents and users, Consumption-based pricing for AI processing (optional), Enterprise licenses for organization-wide deployment, Volume discounts for larger deployments. Typical enterprise deployments range from $50K-$500K annually depending on scope and automation coverage. We offer flexible contracts (annual, multi-year) and proof-of-concept pricing for pilot programs. Contact our team for custom pricing based on your specific needs.

Customer results show significant ROI: Average 60-85% reduction in process cycle times, 40-70% cost savings on manual operations, 90%+ accuracy improvement on data-intensive tasks, 50-80% increase in employee productivity (freed from repetitive work), Payback period typically 6-12 months. Example: Fortune 500 servicer prevented $1M in fraud annually using Jade. Major bank reduced research time from 2 months to 5 days with Lens. Global facilities leader cut procurement cycles by 85%. ROI varies by use case—we provide detailed ROI analysis during scoping.

Alomana is built for enterprise scale: Handle millions of transactions and documents per month, Auto-scaling infrastructure adjusts to workload, Multi-region deployment for global operations, High availability (99.9% uptime SLA), Supports thousands of concurrent users, Performance monitoring and optimization. Start with a single use case and expand across departments, geographies, and business units. Our largest customers run 50+ agents processing millions of tasks monthly.

Comprehensive analytics dashboard tracks: Task completion rates and processing times, Accuracy metrics (error rates, correction frequency), Cost savings and efficiency gains (time/resources saved), User adoption and satisfaction scores, Process bottlenecks and optimization opportunities. You receive weekly performance reports with actionable insights. Set custom KPIs aligned with business objectives. Real-time monitoring ensures agents meet SLAs. Continuous improvement recommendations based on performance data.