AI reliability or cost is blocking production
Quality varies across real cases, costs are difficult to predict or failures still require constant human correction.
Decision Systems Engineering
Evodant engineers governed decision systems for production AI, secure software change, and cybersecurity operations. We connect evidence, policy, models, and human authority to turn complex decisions into controlled action.
Established 2006Founder-Led EngagementsSoftware, Data, Security and AI Engineering
When The Current Approach Stops Working
Start with the operational problem, not a technology purchase.
Choose the perspective that best matches your situation.
An AI initiative has stalled after the pilot
The demonstration worked, but production ownership, evidence, integration and safe failure handling remain unresolved.
Agent authority can't be approved
Agents can reach sensitive data and tools, but identity, permissions, delegation and approval limits are not explicit.
Decision data can't be trusted
Teams still reconcile inputs manually or depend on institutional knowledge before they can act.
Selected Client Outcomes
Examples of results delivered across cybersecurity, data governance, AI security and production engineering.
Reduced External Exposure
NIST CSF 2.0 alignment and successful SOC 2 Type II examinations while reducing externally exposed services by 38%.
Data Governance at Scale
Data governance and personal-data protection for platforms serving millions of users.
AI Security Architecture
Threat models, trust boundaries, and security controls for AI applications, MCP integrations, and CI/CD infrastructure.
Faster Delivery Pipelines
Automated iOS and Android CI/CD pipelines across development and production environments, making testing and deployment cycles four times faster.
Decision Intelligence Solutions
Six ways to turn a failing decision workflow into an operational system.
Operationalizing Production AI
Move a promising AI capability into a measurable production workflow with representative evaluation, cost controls, evidence requirements, escalation and safe failure handling.
Built for: CTOs, VPs of Engineering and AI leaders moving beyond pilots.
Explore Operationalizing AIAgentic Workflows and Orchestration
Turn a fragmented, human-led workflow into a governed operating loop across tasks, tools, data sources, approvals, exception handling and human review.
Built for: Operations, engineering and automation leaders improving a defined workflow.
Explore Agentic WorkflowsAgent Authority and Cybersecurity Controls
Engineer identities, permissions, delegation rules, approval boundaries and containment paths that make agent authority inspectable and enforceable.
Built for: CTOs and CISOs responsible for approving agent access and action.
Explore Agent Authority ControlsSecure Software Delivery and DevSecOps Decisions
Connect source, tests, dependencies, infrastructure, security findings and runtime conditions into a governed path from change to release.
Built for: Engineering and security leaders responsible for release risk.
Explore Secure Software DeliveryDefending Cyber Incident Workflows
Organize changing evidence, hypotheses, response policy and approval authority so responders can reach defensible decisions under pressure.
Built for: CISOs and incident leaders improving response consistency.
Explore Cyber Incident WorkflowsSimulation-Backed Operational Decisions
Test interventions, expose failure modes and compare options before acting when live experimentation is expensive, slow or unsafe.
Built for: Operations and engineering leaders managing complex or high-consequence systems.
Explore Simulation-Backed DecisionsStart With One Decision
Build and test the workflow before you scale it.
Evodant does not require a platform replacement or enterprise-wide transformation to begin. The first engagement establishes whether a defined workflow can produce a useful operational result.
Fit Conversation
Confirm the decision, urgency, executive owner and whether Evodant is appropriate.
Decision Discovery
Map the evidence, rules, models, authority, failure modes and measurable outcome. A typical discovery lasts two to three weeks and produces an implementation recommendation.
Bounded Engineering Engagement
Implement or remediate the workflow, test representative cases and establish operating ownership. A focused first build will often fit an eight-to-twelve-week window; scope determines the actual commitment.
Scale Deliberately
Expand only after the workflow demonstrates useful, measurable behaviour under real operating conditions.
How Evodant Works
A decision is a system, not a model output.
Evidence
Data, events, documents and operational state
Interpretation
Models, analytics and expert input
Decision logic
Rules, policy, constraints and uncertainty
Authority
Who or what may recommend, approve or act
Action
Execution through existing operational systems
Outcome
Measurement, review and feedback
Decision Intelligence describes the result. ODSE is Evodant's method for engineering the evidence, logic, authority, action and feedback around it.
View engineering capabilitiesEstablished 2006
Two decades of systems engineering behind every engagement.
Evodant’s work has spanned high-availability software, secure commerce, real-time simulation and interactive systems, distributed systems, data engineering, cybersecurity and AI research. Across those domains, the objective has remained consistent: turn technological capability into operational value while preserving an organization’s ability to understand and control its systems.
Engagements are led directly by Evodant's founder and supported by specialist engineers selected for the problem.
Read the company historyBring the decision workflow that is blocking your progress.
If reliability, cost, fragmented systems, security risk or unclear authority is preventing a system from moving forward, let’s talk.
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