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Workflow systems01—04
Solutions overviewFour focused systems for evidence-heavy operational work.Explore the capability map01Decision SupportPrepare reviewable context for expert decisions02Customer & RevenueConnect research, preparation, and follow-through03Document & Case IntelligenceStructure complex document sets with evidence intact04Agentic AutomationBounded agents for existing systems

Responsible AI & Security

Human authority. Visible evidence. Bounded access. Reviewable action.

Denalix designs AI-assisted workflows around explicit approval points, least-privilege access, source lineage, pre-deployment evaluation, audit events, and continuous quality, cost, latency, and reliability monitoring.

These practices support responsible implementation but do not, by themselves, establish regulatory compliance or eliminate risk. Final controls depend on customer architecture, policy, vendors, and engagement scope.

Control domains

Turn principles into operating controls.

Trust is not a badge or a policy page. It is the combined behavior of people, workflow, software, access, evaluation, evidence, and operations.

01

Governance & accountability

Define approved use, accountable owners, decision boundaries, escalation paths, and controlled change.

02

Identity & access

Apply role-based access, least privilege, tool-level permissions, and explicit authorization for sensitive actions.

03

Data protection & isolation

Respect tenancy, retention, encryption, location, and customer-specific data-handling requirements.

04

Model & agent quality

Evaluate groundedness, citations, instruction following, tool use, refusal, and consistency against realistic cases.

05

Application security

Design defenses for prompt injection, unsafe content, unauthorized tool calls, data leakage, and dependency risk.

06

Observability

Trace agent and tool events while monitoring latency, cost, reliability, exceptions, and quality signals.

07

Auditability

Retain reviewable records of inputs, sources, policies, approvals, actions, and material configuration changes.

08

Incident response

Prepare owners, detection signals, containment paths, notification procedures, and recovery expectations.

Evaluation lifecycle

Measure before release. Keep measuring after it.

Evaluation is tied to intended use and real workflow behavior—not a single generic model score.

  1. 01

    Define

    Identify intended use, unacceptable behavior, authority, and measurable release criteria.

  2. 02

    Assemble

    Create representative, difficult, edge, and adversarial scenarios with expected outcomes.

  3. 03

    Measure

    Test grounding, citations, extraction, rules, tool use, access, cost, latency, and reliability.

  4. 04

    Review

    Investigate failures, document limitations, improve the system, and repeat the evaluation.

  5. 05

    Approve

    Release only after accountable owners accept the evidence and remaining risk.

  6. 06

    Monitor

    Track production signals, incidents, changes, and drift against the approved use.

Shared responsibility

Controls must fit the real environment.

Denalix designs and implements within the agreed scope. Customers retain responsibility for business policy, legal and regulatory interpretation, data authority, identity architecture, final approval, connected systems, and ongoing operational governance.

Named frameworks and controls are reference points—not claims of certification, compliance status, or legal advice.

AI Workflow Assessment

Review one use case through the control lens.

Start with the people, evidence, permissions, failure modes, evaluation, and operating signals the workflow requires.

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