Services

A practical ladder for buying AI systems.

Epoches starts with education, proves the opportunity through a paid workflow audit, builds bounded AI employee pods, then operates them through managed AI Ops.

The ladder

Each rung has one job: reduce risk before the next investment.

No one should buy an AI build from a cold landing page. The ladder makes the operational case first.

Four ascending steps: masterclass, audit, build, and managed operations
01

Awareness

Masterclass

Working session

A practical 90-minute working session for operators who need a clear AI starting point.

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02

Diagnosis

AI Workflow Audit

$2.5K

We map workflows, score opportunities, and return a prioritized implementation roadmap.

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03

Build

AI Employee Pod

Scoped build

A scoped AI employee for one or more real workflows, deployed with human approval and monitoring.

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04

Operate

Managed AI Ops

Managed service

Monthly optimization, issue review, prompt/context updates, reporting, and expansion planning.

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AI Workflow Audit

The paid diagnostic before any build.

In 14 days, Epoches maps operational workflows, interviews the team, reviews the tool stack, scores the top automation opportunities, and returns an implementation sequence with risk notes.

Entry offer$2,500 fixed

Money-back guarantee if no meaningful automation opportunity is found and the client provided access.

View the audit page
AI employee builds

Build packages are scoped around workflow value, not model novelty.

Each build starts only after signed scope: owner, trigger, inputs, outputs, tools, approval gates, exclusions, evaluation criteria, timeline, and price.

4-6 weeks

Starter AI Employee Pod

One bounded workflow

  • One workflow
  • 1-2 integrations
  • Human approval layer
  • Documentation and training
6-8 weeks

Growth AI Workforce System

2-3 connected workflows

  • Connected workflow chain
  • Evaluation suite
  • Escalation paths
  • Operational handover
Scope-dependent

Operations Transformation Build

Multi-team operations

  • Multiple workflows
  • Governance layer
  • Dashboards
  • Multi-team training
Managed AI Ops

Retainers keep the AI employee useful after launch.

The durable value is not the first automation. It is monitored operation: errors reviewed, context kept fresh, prompts improved, edge cases handled, and the next workflow identified.

Two operations specialists review workflow exceptions, improvements, reporting, and a safe expansion path
A monthly cycle of monitoring, optimization, reporting, and expansion around a live workflow
Maintain

One live AI employee

Monitoring, bug fixes, monthly review, and basic context updates.
Optimize

2-3 AI employees

Prompt/context improvements, reporting, support, and workflow tuning.
Expand

Continuous rollout

New automations, priority support, quarterly roadmap, and expansion planning.
Initial ICP

Best fit: admin-heavy, document-heavy, coordination-heavy SMEs.

Epoches starts where AI can reduce repetitive work without pretending to replace business judgment.

Professional services

Client intake, research, drafting, CRM follow-up, reporting.

Document-heavy work with repeated review loops.

Healthcare administration

Scheduling support, intake, insurance paperwork, billing admin.

Administrative only. No autonomous clinical decisions.

Retail and ecommerce

Support triage, order operations, inventory updates, weekly reporting.

High-volume operational work across customer and stock systems.

Logistics and operations

Dispatch updates, exception routing, status reporting, invoice checks.

Coordination-heavy teams with repeatable escalation rules.

Legal and finance

Document intake, summarization, checklist review, client follow-up.

Sensitive work that needs approvals, logs, and clear boundaries.

Also served, outside the core focus: Real estate, Education and EdTech, Manufacturing, Hospitality and food service, Home and field services, Marketplaces, Automotive retail and service, Travel and tourism. If your sector is not listed, the audit is still the honest way to find out whether we can help.

Governance baked in

Bounded systems beat uncontrolled autonomy.

Epoches does not ship vague demos or unsupervised agents. The delivery lifecycle is audit, scope, design, build, test, deploy, train, monitor, optimize, expand.

  • Every AI employee has a workflow owner.
  • Allowed and forbidden actions are written before build.
  • Human approval is required for sensitive outputs and edge cases.
  • Logs, evaluation checks, escalation paths, and rollback are part of scope.
  • If a workflow cannot be evaluated or monitored, Epoches does not deploy it autonomously.
Next step

Start with the workflow audit if there is a real operational problem to solve.

The audit gives you a ranked automation roadmap before committing to a build.