Now booking 2026 engagements

Agentic systems that pass audit on day one.

Edgin & Associates designs, deploys, and governs AI agents for healthcare, financial services, insurance, and public sector teams. The practice is built around one idea: if an agent cannot survive audit, it is not ready for production.

  • Governance first: model cards, eval plans, data-flow maps, and rollback paths from the first week.
  • Production engineering: planner, retrieval, tooling, human review, and observability in one operating model.
  • Change management included: operators, engineers, risk, and leadership all get a lane in the rollout.
E&
Ask Edgin Curated answers from the practice
8 answers
Ask about HIPAA, pilots, model choice, governance, or how a Workflo engagement runs.
What clients get in the first 30 days Board-ready
1 memo
Written engagement memo with scope, cost shape, and decision rights.
3 maps
Workflow, data-flow, and policy maps that show where the agent can and cannot act.
12 wks
Typical window from scoped pilot to production-grade operator review loop.
0
Tolerance for undocumented model behavior, mystery logs, or hidden prompts.
01 / Core practice

Four pillars, one operating model.

The original page introduced the practice. This expanded version makes the offer more concrete: what Edgin sells, how engagements are sequenced, who the work fits, and what evidence clients walk away with.

Pillar 01

AI Strategy & Roadmap

Portfolio design for teams that need a serious 12-month plan, not a generative AI wish list.

Prioritization Board narrative Investment shape
Pillar 02

Governance, Risk & Compliance

HIPAA, PCI DSS, SOC 2, and ISO-aligned controls translated into model-era policy and evidence.

ISO 42001 Data-flow controls Vendor review
Pillar 03

Workflo™ Agentic Automation

Production agent systems with retrieval, tooling, review queues, observability, and rollback.

Agents RAG Human review
Pillar 04

Training & Enablement

Operators, engineers, and risk reviewers move together so the rollout does not stall in handoff.

Cohorts Operating playbooks Internal certification
02 / Where it fits

Built for teams under audit, under queue pressure, or both.

The sweet spot is not "anyone interested in AI." It is regulated teams with repeatable, high-friction work that already moves through policy, review, and systems of record.

Healthcare

Clinical ops and payer workflows

Prior auth, intake, member routing, quality documentation, appeals triage, and policy lookup.

HIPAA PHI boundaries Audit logs
Financial services

Risk, servicing, and operations queues

Exception routing, compliance review, complaints, case preparation, and analyst copilots.

PCI DSS Model governance Escalation paths
Public sector

Programs where traceability matters

Intake, case summarization, knowledge retrieval, eligibility guidance, and controlled automation.

Records retention Human override Procurement-ready
03 / Evidence

Every engagement produces artifacts, not just enthusiasm.

This is often the missing layer on consultancy sites. Below is the practical paper trail clients need to move from "interesting" to "approved."

Artifact 01

Workflow architecture

Planner, retrieval, tool use, review, and record-write boundaries for the target process.

Artifact 02

Control mapping

Existing controls translated into prompt, logging, vendor, and evaluation requirements.

Artifact 03

Evaluation harness

Scored datasets, failure modes, and release criteria that survive risk review.

Artifact 04

Operator playbook

Escalation, rollback, override, incident response, and ownership after handoff.

04 / Engagement shape

How a Workflo™ engagement actually runs.

The original page hinted at the phases. This version makes the sequence explicit so buyers can picture the work before the first call.

Phase 01

Scope

Two weeks to map the queue, surface policy boundaries, and decide if the workflow is fit for automation.

Phase 02

Design

Reference architecture, data flows, control memo, release gates, and operator review design.

Phase 03

Build

Pilot population, feature flags, eval harness, observability, and human-in-the-loop queue from day one.

Phase 04

Harden

Drift checks, quarterly control review, operator enablement, and ownership transition into the client team.

05 / FAQ

Questions serious buyers ask before they book.

Do you build or only advise?

Both. Strategy and governance can stand alone, but Workflo is an engineering engagement that ships code into the client's stack.

What does "model-agnostic" mean in practice?

A gateway pattern, evaluation harness, and clear substitution layer so model choice can change without rewriting the workflow.

What makes this different from a generic AI shop?

The practice is built around auditability, change control, and evidence. Demo velocity matters, but only if it survives review.

How are engagements priced?

Scope-based and phase-based. Clients leave scoping with a written engagement memo rather than a vague range.

Edgin / Practice

The practice, expanded into detail.

Each pillar stands on its own. Together, they form a practical operating system for getting agents approved, launched, and maintained inside regulated environments.

Pillar 01
Prioritization Portfolio Investment

AI Strategy & Roadmap

Portfolio design for operators who need to decide where agents should start, what should wait, and which workloads deserve engineering investment versus a lighter copilot pattern.

  • Opportunity assessment across 6 to 12 workflows, with queue pressure and policy complexity scored separately.
  • Build, buy, or partner recommendation for each workflow, including integration and data dependency notes.
  • Executive narrative that ties agent work to throughput, quality, risk reduction, or staffing leverage.
Pillar 02
HIPAA PCI DSS ISO 42001

Governance, Risk & Compliance

Existing controls do not disappear when a model enters the workflow. This pillar translates your current frameworks into data, logging, vendor, and release controls for agent systems.

  • Data-flow mapping for prompts, embeddings, eval sets, logs, and operator review surfaces.
  • Vendor due diligence for frontier models, hosted tool providers, and retrieval infrastructure.
  • Document package for model cards, incident handling, review cadence, and change-management expectations.
Pillar 03
Agents RAG Observability

Workflo™ Agentic Automation

The engineering pillar. Edgin builds the planner, retrieval, execution, and review surfaces required to move real work through audited systems of record.

  • Reference architecture for planner-executor-review patterns with explicit policy boundaries.
  • Integration into existing data stores, CRMs, case systems, ticketing queues, or internal portals.
  • Evaluation harness, release gates, drift review, and rollback path before operator expansion.
Pillar 04
Operators Engineers Reviewers

Training & Enablement

This is where adoption stops falling apart. Operators learn when to trust the agent, reviewers learn what to challenge, and engineers get a shared operating vocabulary.

  • Cohort sessions tuned for operations, engineering, leadership, and risk review audiences.
  • Private knowledge base with runbooks, failure patterns, escalation paths, and policy reminders.
  • Internal certification rubric so rollout quality does not depend on one champion.
Engagement type Best when Typical length Primary buyer
Strategy sprint You have multiple candidate workflows and need sequencing before building. 6 to 8 weeks CIO, COO, transformation lead
Governance package You already have AI work underway but need controls, policy, and release discipline. 4 to 6 weeks Risk, compliance, legal, platform lead
Workflo pilot You know the workflow and need a production-grade agent pattern with review and rollback. 8 to 12 weeks Ops owner, platform lead, risk sponsor
Enablement cohort Your team needs operating confidence so adoption does not bottleneck after launch. 2 to 4 weeks Operations, PMO, enablement lead
Edgin / About

A governance firm, now an agentic one.

Edgin & Associates started in enterprise governance work and moved forward with the market. The throughline is still the same: document the controls, respect the operators, and design for the next review before launch day.

Principle 01

Evidence beats optimism

If behavior is not evaluated and documented, it is not ready to scale.

Principle 02

Review is a product feature

Human-in-the-loop is designed, measured, and staffed like any other critical workflow.

Principle 03

Own less, integrate more

Systems of record stay with the client. Agents read and write through controlled interfaces.

Heritage

The arc from audits to agents is shorter than it looks.

Two decades of governance work becomes useful in the model era because the hard part is rarely the interface. It is the release discipline, ownership model, and paper trail around the interface.

  • 2009
    Firm founded in Chicago with a focus on enterprise IT governance for SMB and mid-market clients.
  • 2013
    PCI DSS practice formalized and workflow methods became a named operating pattern.
  • 2017
    ISO readiness work expanded the firm's role from advisory to embedded transformation partner.
  • 2021
    First retrieval and language-model risk assessments delivered inside regulated environments.
  • 2024
    Dedicated AI governance practice launched with model documentation and evaluation design work.
  • 2026
    Workflo relaunched around agentic automation, with governance and engineering under one offer.
Edgin / Contact

Tell us about the workflow.

A serious brief request gives enough context to tell whether the workflow is right for an agent, what kind of team should be in the room, and which pillar should lead the engagement.

Thanks. This local demo form is wired for prototype behavior only, but the page now reflects a fuller intake experience.

Ready to put an agent in front of an auditor?

The expanded version now gives the firm more credibility: clearer services, stronger proof points, more buyer guidance, and a contact page that feels like the beginning of a real engagement.