The 2026 enterprise AI crisis is not adoption — it is governance. 97% of organisations are already exploring agentic AI strategies. Only 12% have a centralised platform to maintain control over AI sprawl. Traditional IAM and RBAC tools can't keep pace with short-lived, dynamic agents acting across hundreds of services. Cortex was built specifically for this gap.
Where to start
Not sure where Cortex fits in your enterprise AI strategy? Here is how the 12% of enterprises that actually control their agents are structured — and where Intellica enters.
97% of organisations are exploring agents. 12% have a centralised governance platform. The other 85% are accumulating "agent sprawl" — isolated AI systems built by different teams with no shared provenance, no shared kill switch, and no shared governance layer. CTOs are discovering that traditional IAM and RBAC tools can't keep pace with short-lived, dynamic agents acting across hundreds of services.
We are not an AI tool. Cortex is the sovereign layer underneath every AI tool your teams build or buy — connecting to SAP, Maximo, Salesforce, Snowflake, and your databases via MCP connectors, with every agent action BLAKE3-hashed, Ed25519-signed, and Merkle-chained. One provenance ledger. One kill switch. One audit trail. No outbound data.
Forrester projects most enterprises will be forced to compose "agentlakes" — shared architectures to orchestrate fragmented AI built without coordination. Cortex is designed to be that layer from day one, not retrofitted after the fragmentation has already cost you compliance violations, audit failures, and data egress incidents.
We map every agent, LLM tool, and AI workflow across your organisation — source, owner, data access, and governance posture. Most enterprises discover 3× more AI deployments than IT is aware of.
Connector roadmap, deployment tier selection, ERP/core system integration design, provenance and governance mapping — before a line of code runs against production.
Cortex deployed on one department, one workload, against one production system — fully reversible, fully audited, with validated Strangler Fig migration path.
Executive and board AI governance briefings, engineering bootcamps for agent development on Cortex, and HITL operations training for every team interacting with agent outputs.
Department-by-department expansion through the Absorption Pipeline — each legacy system progressively replaced with instant rollback capability, zero downtime, and cryptographic decommission certificates.
Cortex on your infrastructure, connected to SAP, Maximo, Oracle, Salesforce, Snowflake, and your databases via MCP — with no rip-and-replace, instant rollback, and cryptographic decommission.
AI portfolio audit, centralised governance framework, OWASP Agentic Top 10 compliance, agent identity and capability scoping, and the CortexGuard kill switch over every deployed agent.
Multi-agent workflow design across finance, procurement, supply chain, and IT operations — with conflict resolution, output aggregation, and HITL gates on every cross-agent decision boundary.
Dell AI Factory validated sovereign inference stack, model registry, MLOps pipeline, observability layer, and AI FinOps — the foundation that Gartner says 60% of agentic projects fail without.
Cortex's six-phase Absorption Pipeline — Observe, Mirror, Absorb, Genesis, Replace, Retire — migrates legacy ERP and enterprise software zero-downtime, with instant rollback and cryptographic decommission certificates.
Board and CXO AI governance briefings, CTO/CIO technology leadership workshops, engineering bootcamps for Cortex and agentic system development, and HITL operations training for every team that interacts with agent outputs.
The right enterprise entry point is one scoped workload as a de-risked entry point — then expanding into additional processes. This pilot deploys Cortex on your infrastructure, connects to one production system (SAP, Maximo, Salesforce, or your database), and runs one workload through the full Absorption Pipeline — fully reversible, fully audited, and contained within your own infrastructure perimeter from day one.
| Discovery & connector scoping (3 days) | $3,240 – $4,140 |
| Cortex deployment & security config (5 days) | $5,400 – $6,900 |
| Connector build & CDC pipeline (10 days) | $10,800 – $13,800 |
| Absorption Pipeline + Genesis UI (8 days) | $8,640 – $11,040 |
| Validation suite & handover (4 days) | $4,320 – $5,520 |
| Phase 1 pilot total | $32,400 – $41,400 |
Cortex ships with MCP connectors for IBM Maximo, Oracle E-Business Suite, Oracle Fusion Cloud, SAP S/4HANA, Salesforce, Workday, Snowflake, Jira, GitHub Enterprise, Slack, ServiceNow, PostgreSQL, SQL Server, and IBM DB2. We scope and build any connector not yet in the library — following the same CDC-mirror, BLAKE3-provenance, and Crypto HITL pattern as the production connector set.
48% of CIOs identify integration with legacy systems as the single most important capability they need to expand agentic AI. We design the Cortex-based migration path for your legacy ERP estate — mapping each system to the Absorption Pipeline phase it's ready for, with TCO modelling against traditional rip-and-replace programmes.
97% of organisations are exploring agentic AI. 36% have a centralised governance approach. 12% have a centralised platform. This audit maps every AI deployment across your organisation, classifies it by risk tier, and designs the governance framework — agent identity, capability scoping, HITL protocols, and the CortexGuard kill switch architecture — that brings every existing agent under a single auditable canopy.
IT is typically aware of 30–40% of the AI tools and agents deployed across the business. The rest are team-level SaaS subscriptions, LLM API calls, and no-code automation with direct access to production data and no governance layer. Every one of these is an unaudited write path into your systems.
Agents have identity, privileges, and access to systems and data across the business and supply chain — making them a new, non-deterministic attack surface. Cortex's 7-layer Security Fortress covers the full OWASP MCP Top 10 and CABP identity pipeline: we configure and validate every layer for your specific deployment, producing a signed validation report your CISO can submit to audit.
Agentic AI lock-in is more durable than API lock-in because it accumulates simultaneously at the foundation model, orchestration framework, runtime environment, and developer patterns. We provide the independent lock-in risk assessment and RFP design that ensures your enterprise retains model portability, data ownership, and exit rights — before you sign a contract that surrenders them.
A single pilot is easy. Running production-grade AI solutions across teams, systems, and geographies is where things break. We design and build the multi-agent orchestration layer that sequences tasks, resolves conflicts, aggregates outputs, and gates every cross-agent decision boundary with a human-in-the-loop control — across finance, procurement, supply chain, and IT operations.
Finance, procurement, and supply chain teams running SAP represent the largest population of enterprise AI agent deployments in 2026 — and the highest reported efficiency gains at 20–50% per McKinsey. We deploy the Cortex supply chain agent layer: procurement workflow automation, supplier risk monitoring, demand forecasting, and inventory intelligence — all grounded in your ERP data via the CDC mirror, no schema changes required.
40% of realised enterprise AI ROI is coming from IT development and productivity — agents assisting with code generation, workflow automation, and incident response. We deploy the Cortex IT operations agent: intelligent incident triage, automated root-cause analysis, change request routing, and self-healing process orchestration — connected to ServiceNow, Jira, and your monitoring stack via MCP.
Workday is in Cortex's live connector library. We deploy the HR intelligence layer: AI-powered headcount planning, talent pipeline analysis, onboarding automation, and workforce analytics — grounded in your Workday data via CDC mirror, with sensitive HR data classified and access-controlled at the field level via Cortex's Tool-Level RBAC.
Gartner predicts 60% of agentic AI projects will fail in 2026 due to lack of AI-ready data and infrastructure. Enterprises over-focus on models and under-focus on architecture. We design and deploy the sovereign AI factory — the compute, storage, MLOps pipeline, model registry, observability, and AI FinOps layer that the 60% are missing — validated against Dell AI Factory's reference architecture and sized for your specific Cortex agent workloads.
| Workload analysis & inference sizing (3 days) | $3,240 – $4,140 |
| Infrastructure architecture (5 days) | $5,400 – $6,900 |
| MLOps pipeline & model registry design (5 days) | $5,400 – $6,900 |
| Observability & AI FinOps layer (4 days) | $4,320 – $5,520 |
| TCO model & procurement spec (3 days) | $3,240 – $4,140 |
| Design engagement total | $21,600 – $27,600 |
The real TCO of an enterprise AI programme over 3 years includes inference cost, retraining, observability, integration maintenance, model swaps, and governance. Many teams discover ongoing cost dwarfs initial development inside 18 months on commercial cloud. Sovereign AI factory typically reaches TCO parity in 12–24 months and produces a capital asset — not a perpetual liability.
Enterprises over-invest in models and under-invest in the operational infrastructure that keeps them reliable in production. We build the MLOps layer that Gartner says over 50% of enterprise AI initiatives are missing — model versioning, A/B testing, drift monitoring, retraining pipelines, and the observability stack that surfaces model degradation before it becomes a customer or compliance event.
Gartner's 60% agentic failure prediction is not about models — it is about data. We build the AI-ready data foundation: data inventory and quality scoring, metadata and lineage layer, semantic data catalogue, vector store for RAG, and the governance layer that ensures data quality doesn't degrade the moment agents start writing back to production systems.
EU AI Act and DORA both impose board-level accountability obligations on enterprises deploying high-risk AI — and most boards are receiving AI briefings from vendors with a commercial interest in the answer. This independent 2-hour briefing gives boards and executive teams the governance framework, regulatory obligation map, and competitive landscape context they need to exercise meaningful oversight — from a source with no platform to sell.
CIOs are operating in a market where every vendor claims "agentic AI" and every demo looks the same. This 2-day workshop gives CTOs and CIOs the framework to evaluate real agentic capability vs marketing claims, design an enterprise governance architecture that survives regulatory scrutiny, and build the internal case for a sovereign AI control plane.
The teams building agents inside enterprises are discovering that single-agent pilots don't generalise to multi-agent production systems. This 5-day intensive builds the in-house capability to design, build, test, and operate Cortex-native agent skills at enterprise scale — covering connector development, RBAC design, multi-agent orchestration patterns, and the provenance and observability requirements of a governed production deployment.
Deploying agentic AI in enterprise operations without trained human-in-the-loop operators creates a new category of liability — not automation risk, but governance failure. We train operations teams across finance, procurement, supply chain, IT, and HR to supervise, audit, override, and escalate decisions from Cortex-governed agents, covering provenance ledger interpretation, CortexGuard kill-switch drills, and DORA incident response procedures.
Why Intellica
Microsoft Copilot, AWS Bedrock, Google Vertex, and IBM watsonx each solve one slice and deepen lock-in at multiple simultaneous layers. Cortex is designed from first principles to sit underneath all of them — sovereign, replaceable, and auditable by any regulator who asks.
Cortex is a single Rust binary plus PostgreSQL/pgvector. It runs on your servers, validates its licence offline via Ed25519-signed JWT, and never makes an outbound call. Data sovereignty is not a configuration option — it is the only architecture.
Every action produces a BLAKE3-hashed, Ed25519-signed TraceCaps capsule, chained into a Merkle tree and anchored to IETF SCITT. Zero Merkle failures across 1M capsules in validation. Your regulator can verify any action without access to your systems.
A single POST /admin/kill halts every agent in the system instantly — online or fully air-gapped. Most enterprises have agents they can't halt, can't audit, and can't trace. Cortex closes that gap with architecture, not policy.
The Absorption Pipeline observes, mirrors, absorbs, generates, replaces, and retires legacy systems in six independent, reversible phases. Each produces its own cryptographic record. Zero downtime. Zero detection by end users until the replacement is faster than the original.
Cortex's deployment model is validated against Dell PowerEdge XE with NVIDIA NemoClaw — producing a due-diligence report and deployment blueprint for direct submission through the Dell AI Ecosystem Program. Not a whitepaper. An artifact.
We don't resell Microsoft, AWS, Google, or IBM products and hold no commercial agreements with any of them. When we recommend a technology, it is because it is the right fit for your sovereignty, governance, and lock-in constraints — not ours.
Start the conversation
We will send you a complete Cortex architecture assessment within 48 hours — including a free AI portfolio audit scope for your specific stack. No cost for the first assessment. If it identifies the gaps you suspected, we discuss what a 90-day pilot looks like from there.