Resources / Founder writing
Read first. Decide informed.
Short guides for the questions buyers actually ask: what AIGIS controls, where it fits, what the model can see, when a model is unnecessary, and why governance has to sit before execution.
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Architecture
Headless enterprise AI control plane
Why chat surfaces, API systems, governed execution paths, and swappable models need one runtime governance layer.
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Architecture
The AIGIS control-plane path
Chat surface intake, intent classification, system routing, identity resolution, permission enforcement, field stripping, execution routing, and provenance.
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Comparison
AIGIS vs vendor-centered AI
Agentforce, Now Assist, Joule, and Copilot all make sense in their own systems. The question is who governs work when it crosses systems and surfaces.
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Security
How field stripping works (vs masking)
The architectural choice that separates AIGIS from masking-based AI products. Useful when the audit team asks what the model can actually see.
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Pricing
What enterprise AI actually costs in 2026
The multi-vendor stack math at 50,000 users: $127M-$193M annually. AIGIS Scale: $600K-$1.5M all-in.
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Architecture diagrams
The story in four shareable visuals.
Use these when you need to explain where AIGIS sits, what the model can see, why not every request needs an LLM, and how model choice becomes policy.
Headless enterprise
Governed AI control plane
Systems of record, chat surfaces, and the AIGIS MCP layer in one request path.
Permission enforcement
Governance before the prompt
Identity mapping, permission modeling, field stripping, and provenance before model context exists.
Execution routing
Not every request needs an LLM
Approved work can route to cache, API, SQL, workflow, model, or human-approved write.
Model-agnostic control
Models become swappable compute
Policy routes requests by cost, latency, sensitivity, confidence, and whether a model is needed at all.
Comparison pages
Start with the search you actually typed.
Short, direct comparisons for teams deciding whether to buy another vendor assistant or put one governed control plane across the systems and work surfaces they already run.
Comparison
Agentforce Alternative for Cross-System Enterprise AI
Compare AIGIS with Salesforce Agentforce for cross-system AI governance, field-level permissions, model choice, deployment model, and enterprise stack cost.
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Comparison
ServiceNow Now Assist Alternative for Enterprise AI Governance
AIGIS is a ServiceNow Now Assist alternative for enterprises that need governed AI across ITSM, CRM, ERP, databases, and data warehouses.
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Comparison
SAP Joule Alternative for Governed Enterprise AI
AIGIS gives SAP-heavy enterprises a model-agnostic AI governance layer across SAP, Salesforce, ServiceNow, databases, and warehouses.
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Comparison
Microsoft Copilot Alternative for Cross-System Governance
AIGIS complements Microsoft Copilot strategy by governing AI access to operational business systems, databases, and approved model routes.
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Architecture guides
The parts that make governance real.
No policy theater. These pages explain the controls that sit in the request path before data reaches a model, workflow, API, or write operation.
Checklist
Salesforce AI Governance Review Checklist
A practical review checklist for Salesforce-heavy teams evaluating AI permissions, field stripping, record access, and audit evidence.
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Worksheet
Agentforce Alternative Governance Worksheet
Questions for teams comparing Salesforce-native AI with an independent governed runtime over systems of record.
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Checklist
LLM Field-Level Security Checklist
A security checklist for evaluating whether fields are removed before LLM context is assembled.
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Audit
Permission Provenance Audit Evidence
What audit teams should expect from AI permission-provenance evidence across Salesforce-first governed workflows.
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Security
CISO AI Audit Readiness Brief
A concise CISO-oriented brief for evaluating AI governance evidence, permission enforcement, and connector asymmetry.
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Architecture
AI Governance Before Prompt Construction
Why enterprise AI governance should check permissions and remove inaccessible context before any model call.
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Salesforce
Salesforce Record Access For AI
Why live Salesforce record visibility matters when assembling AI context for CRM workflows.
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Security
Field Stripping Vs Masking In AI Governance
A short comparison of field stripping and masking for enterprise AI security reviews.
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Audit
AI Permission Audit Trail
The audit elements needed to explain what an AI answer was allowed to know.
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Architecture
Governed Runtime For Enterprise AI
How a governed runtime shapes identity, permissions, context, model routing, and evidence before AI answers.
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Architecture
Model-Agnostic AI Governance
Why enterprises should keep permission enforcement stable while model routing remains flexible.
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Use case
AI Governance For Customer Data
How Salesforce-first AI governance can reduce customer-data exposure before model calls.
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Salesforce
Salesforce AI Data Leakage Controls
Controls for reducing Salesforce data leakage risk in LLM-based workflows.
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Action safety
Human-Approved AI Actions
How governed AI write proposals should handle human confirmation, fresh checks, and execution boundaries.
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Procurement
Enterprise AI Governance RFP Questions
Questions procurement, security, and architecture teams can use when evaluating AI governance vendors.
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Security
AI Governance For Regulated Industries
A regulated-industry lens on permission provenance, field stripping, and Salesforce-first proof workflows.
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Salesforce
AI Governance For Salesforce Architects
A Salesforce architect's guide to reviewing AI permission checks, context assembly, and audit evidence.
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Executive
AI Audit Evidence For Board Updates
How executives can frame AI governance evidence for board and risk committee updates.
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Strategy
Independent AI Governance Layer
Why enterprises may want a governance layer above vendor assistants and model providers.
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Evaluation
AI Governance Proof Sprint
How to scope a proof sprint for Salesforce-first AI governance and permission-provenance evidence.
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Guide
EU AI Act: Building AI Evidence Before the 2026 Milestone
A claim-safe guide for enterprise teams with EU exposure: what evidence to assemble for AI control conversations as EU AI Act obligations phase in through 2026, without overclaiming compliance.
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Brief
Shadow AI Agents: From Discovery to Permission Provenance
Unknown AI agents are a discovery problem. Governed agents create a proof problem: who approved access, what was stripped, and what evidence remains. A claim-safe brief for CISOs.
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Guide
NIST AI RMF: Turning the Framework Into AI Access Evidence
A claim-safe guide for security and governance teams using NIST AI RMF: what evidence shows that AI access was permission-checked before the model saw data.
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Brief
Why Prompt Logs Are Not an Audit Trail
A claim-safe brief on the difference between conversation logging and permission-provenance evidence for enterprise AI over systems of record.
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Brief
Governing Non-Human (AI Agent) Identities Over Systems of Record
A claim-safe brief for CISOs on permission enforcement and evidence for AI agent (non-human) identities accessing enterprise systems of record.
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Guide
Preparing AI Access Controls for a SOC 2 Readiness Effort
A claim-safe guide for teams whose AI features fall inside a SOC 2 readiness effort: what access evidence to assemble, without overclaiming certification.
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Guide
Where Salesforce Shield Ends and AI Governance Begins
A claim-safe guide on how Salesforce Shield and an independent AI governance layer address different questions for enterprise AI.
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Worksheet
Questions to Verify About Agentforce Permission Enforcement
A claim-safe worksheet for teams evaluating Salesforce-native AI: questions to verify permission enforcement and audit evidence before relying on it.
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Architecture
Headless Enterprise AI Control Plane
How AIGIS governs requests across chat surfaces, API-accessible systems, execution paths, and model-agnostic LLM deployments.
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Architecture
Enterprise AI Governance Middleware
A practical architecture for enterprise AI governance middleware: identity resolution, live record checks, field stripping, model routing, write approvals, and audit provenance.
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Architecture
Field-Level Security for LLMs
Why LLM field-level security should remove inaccessible fields before prompt construction instead of sending masked placeholders to the model.
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Architecture
AI Permission Provenance
AIGIS records which systems were queried, which identities were used, which permissions were checked, and which fields were included or stripped.
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Architecture
Human-in-the-Loop AI Writes
Safe AI writes require explicit approval plus a fresh permission check at confirmation time, not only when the AI drafts the proposal.
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Use case
AI Governance for Salesforce, SAP, and ServiceNow
AIGIS routes questions across Salesforce, SAP, ServiceNow, databases, and warehouses while enforcing each system's native permissions.
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Use case
Salesforce AI Governance
How AIGIS governs Salesforce AI access with object, record, and field permissions while routing safely across SAP, ServiceNow, databases, and other enterprise systems.
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Use case
ServiceNow AI Governance
AIGIS governs AI access across ServiceNow, Salesforce, SAP, and databases with identity mapping, field stripping, permission provenance, and confirmation-time write checks.
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Use case
SAP AI Governance
How AIGIS governs SAP AI access with live connector checks, field stripping, identity mapping, and model-agnostic routing across CRM, ITSM, and databases.
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Architecture
LLM Field-Level Security
A practical guide to LLM field-level security: why prompt masking leaks structure, why field stripping works better, and how AIGIS enforces access before model context.
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Architecture
AI Audit Trail for Enterprise Systems
What an enterprise AI audit trail should capture: user identity, system identity, permissions checked, fields stripped, model used, write approvals, and response status.
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Use case
AI Data Leakage Prevention for Salesforce
How to prevent Salesforce data leakage in AI systems with live record checks, field stripping, prompt minimization, write approvals, and permission provenance.
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Video
The founder series on YouTube.
A new episode every week or two on AIGIS architecture, the IP strategy, the GTM motion, and the design partner deployments. Watch from the start to follow the build.
The first episodes drop launch week
Subscribe to be notified when episodes are live. Each one is 10-12 minutes, founder direct to camera, no edit fluff.
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