AstorOperational AI Consulting
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Four formats. Measurable decisions.

Astor works with processes that involve volume, operational cost, document friction or excessive dependence on manual work. Each format has an explicit success criterion agreed before starting.

Where Astor fits

Astor fits if your business has:

  • A critical repetitive process with sustained volume.
  • Operational cost that is visible or suspected, but not yet measured.
  • An internal owner with authority to decide on changes.
  • Willingness to revisit how work is done, not just which tools are used.
  • Budget to intervene, not just to experiment.
  • A leadership that wants to measure impact, not just experiment.

Where Astor doesn't fit

Astor doesn't fit if:

  • You're looking to try AI to see what happens.
  • You need cheap, fast automation without follow-through.
  • There's no internal owner available to validate and decide.
  • There's no access to the data, documents or actual process.
  • There's no willingness to change operations, only to layer technology on top.
  • Results are expected without internal team adoption.

The sooner we say so, the better for both sides.

What if our data is a mess?

Astor designs systems that tolerate the document fragmentation typical of the sector. Sprint 0 runs on a real sample precisely to validate this before committing resources. If the data doesn't allow a usable case to be built, we say so in Sprint 0, not afterwards.

Wouldn't a vertical SaaS be enough?

A vertical SaaS forces your business to adapt to its software. Astor adapts the system to your actual process, integrating with your existing infrastructure without vendor lock-in. In operations where the workflow or the criterion changes by exception, rigid SaaS falls short. Astor builds for those cases.

Operational Margin Audit

What it's for

Detecting real opportunities to recover margin, ranked by economic impact and execution risk. The audit answers three questions: where margin is being lost, which processes deserve redesign, and which cases justify AI.

Deliverables

  • Operational map of the process or processes analyzed.
  • Leakage map with estimated quantification by friction point.
  • Impact / effort / risk prioritization of the identified opportunities.
  • Recommendation of 1 to 3 opportunities for intervention.
  • Business case per recommended opportunity.
  • 90-day roadmap with concrete next steps.

Duration

2 to 3 weeks.

Investment

Closed in Sprint 0, based on operational complexity, number of processes analyzed and availability of information.

Success criterion

The audit fulfills its function if the client can make the decision to proceed or not with quantified information in hand. It's not a report; it's an executive input.

If the estimated impact of the identified opportunities is less than three times the audit investment, we say so at closing. The audit isn't a toll: it has to pay for itself in evidence.

Operational AI Pilot

What it's for

Validating a specific case in limited production, with measured baseline, assigned owner and acceptance KPIs agreed before starting. The pilot is not a demo. It's a defined functional system running on real data.

Deliverables

  • Functional system over the agreed scope.
  • Pre-pilot baseline measured.
  • KPIs vs baseline at pilot closing.
  • Documentary traceability for each output (source, page, confidence).
  • Go / no-go recommendation for the productization phase.

Duration

30 to 45 days, preceded by a 5-day Sprint 0 (deductible from setup).

Investment

Closed in Sprint 0, based on number of modules, required integrations and documentary volume.

Success criterion

The pilot fulfills its function if the agreed metric moves against baseline in the direction and magnitude expected. If it doesn't move, closing includes a report on why it didn't and what would change the result.

Custom Operating System

What it's for

Turning a critical process into a measurable, integrated and maintainable operating system. Applies when the pilot demonstrated impact and the client decides to scale to full production.

Deliverables

  • System in production over the complete process.
  • Integrations with existing tools (ERP, CRM, document storage).
  • Technical and operational documentation.
  • Client team training.
  • Operational governance, review cadence and per-output traceability.

Duration

3 to 5 months.

Investment

Closed in Sprint 0, based on functional scope, integration complexity, data volume and required governance level.

Success criterion

The system fulfills its function if the client team operates it autonomously by project close and KPIs hold through the first quarter post-handover.

Managed Optimization

What it's for

Maintaining, measuring and improving the system in production. AI isn't static: models age, processes change, integrations break. Without operational cadence, initial ROI degrades.

Deliverables

  • Continuous KPI monitoring.
  • Model adjustments based on real performance.
  • Resolution of operational incidents.
  • Quarterly review with improvement plan.
  • Monthly executive reporting.

Duration

Monthly retainer, no permanence beyond the current quarter.

Investment

Closed based on volume processed, number of active integrations and agreed SLA.

Success criterion

The retainer fulfills its function if the system's KPIs are sustained or improved quarter over quarter and the client keeps renewing because value is demonstrated, not because of contractual inertia.

On investment

Astor doesn't bill hours. Each format is closed as a defined engagement with deliverables and explicit acceptance criteria agreed before starting. Final budget is confirmed in Sprint 0, once the technical scope is defined. No unforeseen deviations. No open-ended billing.

The honest way to start is by measuring.