We assess, pilot, deploy, and run AI systems for enterprise teams that need secure data access, auditability, human oversight, and integration with existing operations.
Enterprise buyers should not feel like they are buying an SMB package. Feerasta Enterprise is the umbrella for Sovereign, Advisory, Bespoke, Compliance, Knowledge, and private agents.
Private deployment on your ground: legal AI, clinical documentation AI, compliance-ready RAG, on-prem automation, and managed sovereign operation.
AI operating model, governance, workflow discovery, vendor evaluation, tool policy, rollout roadmap, and fractional AI officer support.
Custom agents, workflow automation, tool integrations, dashboards, RAG systems, private builds, and internal apps.
AI governance, privacy, accessibility, cookie consent, AI disclosure, audit trails, retention, and regulated-workflow readiness.
Policies, contracts, SOPs, matters, tickets, documents, and reports made searchable with citations and permission-aware access.
Vendor pricing, invoice anomaly detection, contract renewal alerts, supplier comparison, AP/AR workflow automation, and spend leakage.
Public pricing is replaced with ranges and phases. The buyer sees a serious deployment path instead of a local-business subscription menu.
| Phase | Purpose | Typical output | Commercial shape |
|---|---|---|---|
| Assessment | Find high-value use cases, risks, data boundaries, and integration constraints. | Readiness report, architecture sketch, governance gaps, prioritized pilot. | Fixed-fee assessment. |
| Pilot | Prove one workflow with real data, clear oversight, and measurable outcomes. | Working prototype, evaluation set, human-in-loop process, security notes. | Scoped pilot fee. |
| Deployment | Connect the workflow to systems of record and production controls. | Private agent, RAG system, dashboard, integration layer, audit log. | Project build fee. |
| Managed Run | Operate, monitor, improve, and report on the system after launch. | Monthly operating report, change log, incident review, optimization backlog. | Retained managed operation. |
Enterprise AI fails when the model demo outruns governance, data access, verification, and change management. We start with the operating surface.
Where data lives, how access is granted, what crosses boundaries, and what stays private.
Which actions require review, approval, escalation, or refusal before the system acts.
Prompts, sources, decisions, tool calls, approvals, and outcomes logged for review.
Approved vendors, private models, retention settings, fallback rules, and evaluation criteria.
CRM, EHR, DMS, ERP, email, calendar, ticketing, finance, document stores, and custom tools.
Pilot team, success criteria, training, support path, monitoring, and managed operation.
Answers from matters, contracts, research, and internal knowledge with citations and privilege boundaries.
Documentation support, clinical note workflows, patient-communication guardrails, and privacy-first deployment.
AI visibility, brand/entity monitoring, local search, reputation, and location-page intelligence for franchises and groups.
Invoice anomaly detection, AP/AR workflows, procurement monitoring, margin leakage, and reporting.
Policies, HR, IT, finance, and operations answers with permissions, citations, and escalation.
Agents that draft, route, summarize, update records, and surface exceptions across existing tools.
Start with a scoped assessment. We will identify the right pilot, the controls it needs, and the operating model to run it safely.