Workflow evidence for consequential AI-assisted work

Know what the available evidence supports, and when it is not enough.

Before AI-assisted work becomes organizational action, Epistema shows what is supported, what is missing, and what still requires human judgment.

See a sample readout Review the proof

Governance accountability remains with the board and senior executives. Agents and engineering can supply capability and evidence; they do not inherit the organization’s authority to decide.

Fixture-backed example

Delivery commitment reassessment

Reassessment required
What changed
A critical dependency moved from June 15 to July 10. The estimated cost basis increased by $25,000.
What the evidence supports
The original commitment remains recorded, but its date, cost, scope, and risk basis now require review.
Decision owner
Executive sponsor
Management response
Review the project manager’s options and decide whether to revise the date, authorize cost, reduce scope, or choose another path.
Open the complete management readout

Illustrative, fixture-backed evidence. Not a customer deployment.

The management problem

AI capability can scale faster than management’s ability to govern it.

Agents act and engineering builds the systems, but neither owns the organization’s governance accountability. Boards and senior executives still need to know why consequential work was considered ready and who was authorized to rely on it.

Epistema turns approved workflow evidence into an inspectable management readout: what happened, what supports the work, what changed, who must decide, and what remains unresolved.

Who

Governance accountability belongs to leadership.

Boards

Oversee whether consequential AI-assisted work is governed and defensible.

Senior executives

Own the organizational decisions, exceptions, and commitments made under their authority.

Engineering and practitioners

Supply systems, evidence, analysis, and options without inheriting management accountability.

How it works

From scattered records to a decision-ready explanation.

Start with the smallest approved evidence set that can explain one consequential workflow.

  1. 01Collect

    Receive approved evidence from the systems and people involved.

  2. 02Reconstruct

    Connect the records into an inspectable workflow.

  3. 03Preserve

    Keep source, context, and authority visible.

  4. 04Interpret

    Determine what the available evidence supports.

  5. 05Surface

    Make gaps, changes, and uncertainty explicit.

  6. 06Report

    Produce a concise management-facing readout.

Possible inputs: approved JSON or CSV exports, telemetry, workflow records, artifacts, policies, approvals, and review evidence. Epistema does not require unrestricted enterprise data.

Where Epistema fits

A distinct question between system activity and organizational commitment.

Agent platforms provide models, identity, tools, orchestration, execution, and operational controls. Epistema examines what the evidence surrounding a consequential workflow supports.

Build and run

Agent platforms

Models, tools, identity, orchestration, and execution.

Observe

Observability

Traces, spans, logs, scores, latency, and cost.

Constrain

Guardrails

Defined limits and policy checks around system behavior.

Interpret for action

Epistema

Workflow reconstruction, evidence posture, unresolved gaps, and a management response.

Human and organizational authority remain separate.

Epistema’s readout does not authorize, approve, execute, or mutate organizational state.

See the broader ecosystem position

Recent proof

Working evidence, with its maturity visible.

Microsoft Foundry is Epistema’s first live reference environment. The deeper proof trail remains available for technical review.

Live, bounded

Foundry to Epistema

A Foundry agent discovered and invoked a deployed Epistema endpoint through A2A and received a structured, read-only assurance result.

Review the A2A proof
Implemented

Tenant-context boundary

An opt-in path binds credential, tenant context, record scope, and idempotency scope without turning access into commitment authority.

Inspect the technical foundation
Fixture-backed

Commitment reassessment

A material evidence change leads to a sponsor-readable reassessment while the original commitment remains recorded.

Open the management readout
Implemented

MCP capability

MCP evidence and readout hooks provide an additional integration path for agentic workflows and approved evidence submissions.

Review implementation status

Start bounded

One consequential workflow is enough to begin.

A first review establishes whether approved evidence can support a useful readout before anyone considers a broader pilot.

  1. 1

    Select one meaningful workflow.

  2. 2

    Provide an approved evidence export.

  3. 3

    Establish the necessary context and mapping.

  4. 4

    Review the readout and decide what is justified next.

Discuss a bounded pilot See the analyst quickstart

Go deeper

Inspect the product from the question that matters to you.

Sample readoutsSee a management-facing commitment reassessment. Technical foundationInspect architecture, boundaries, implementation, and proof. Governance patternsReview sourced public cases through a workflow lens. Resource indexFind pilot, research, strategic, and reference material.