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Describe the challenge
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Describe the challenge

When critical operations outgrow their systems, we engineer what comes next.

SageTensor redesigns the workflow and builds the software, data, AI and infrastructure required to run it — inside your environment, under your control.

For organizations facing manual operations, fragmented systems, slow decisions or AI that never reaches production.

Describe the challenge Inspect a working system

The eleven-day request

A routine request should not take eleven days.

The delay is rarely one broken application. It is the gap between people, systems, decisions and data.

Today — unstructured

  1. Day 0

    A request arrives

    An email with attachments — printed, forwarded, then re-typed into the CRM.

  2. Day 1

    The same fields, again

    Keyed a second time into the ERP, a third into a tracking spreadsheet.

  3. Day 3

    Documents scatter

    The contract sits in a mailbox; the assessment in a drive. Nobody holds all of it.

  4. Day 8

    An exception disappears

    A missing form triggers a workaround — handled differently every time.

  5. Day 11

    The customer is still waiting

    Status lives in inboxes. No one can say where the request is.

  • 11 days
  • 6 handoffs
  • 3 re-entries
  • 1 lost exception
  • status: unknown

Engineered — one accountable flow

The same request enters once, receives an owner and a deadline, uses AI only where it has been evaluated, keeps a person responsible for high-impact decisions, and records every step.

  • Entered once
  • Visible owner
  • Approval where required
  • Complete audit trail
Open the working reference system

The complete system

One architecture. One technical and commercial responsibility.

The solution is not one more tool. We engineer the connected layers required to change the operation — and take responsibility for how they work together.

01 Operational software and platforms Custom platforms that run your core operations end to end — case management, order flows, service operations.

Turns fragmented, manual work into one integrated, observable operating flow — a single path from intake to outcome, with status visible, ownership explicit, and exceptions handled deliberately.

How this layer works Governed Case Operations System

02 Integration and governed data Pipelines, APIs, and governed records that make your systems share reliable data.

Gives each critical record one governed source that your systems read from and write to — so people stop reconciling by hand, reports agree, and everything built on the data can be trusted.

How this layer works Architecture decision record

03 Decision systems and applied machine learning Forecasts, classifications, and recommendations inside the workflow — with uncertainty stated and reasoning recorded.

Delivers forecasts, classifications, and recommendations at the speed the work requires — with uncertainty expressed, accountability recorded, and outcomes feeding back to improve the next decision.

How this layer works Decision-intelligence blueprint

04 LLM and enterprise knowledge systems Language-model systems over your documents and records — answers with sources, permissions, and evaluation.

Puts the organization's documents, records, and policies behind a governed question-answering capability: grounded answers with citations, inside your permission model — not a chatbot demo beside the work.

How this layer works Governed AI and agent blueprint

05 Bounded agents and automation AI that acts inside a control boundary — permissions, evaluation, monitoring, and human authority over what matters.

Takes a promising capability to governed production: integrated, permissioned, evaluated, monitored, with human control and defined failure handling — and economics that hold at real volume.

How this layer works Governed AI and agent blueprint

06 Cloud, reliability, identity and security The foundations under the operation — identity, environments, deployment, observability, recovery — engineered for change.

Makes change routine and failure survivable: environments and identity defined as code, deployment with rollback, observability across the stack, and recovery objectives that are tested rather than hoped for.

How this layer works Threat, evaluation and acceptance artifact

AI is used where it improves the operation and passes evaluation. Deterministic software is used where it is the safer answer.

Evidence

Do not take the claim on trust.

Open the working system, its architecture, evaluation plan and production-acceptance artifacts.

Flagship reference system

Governed Case Operations System

Governed Case Operations · synthetic data

CASE CO-2480

Claim reassessment — policy 88-4471

Awaiting approval Approved · A. Rivas Returned to intake
Owner
Claims desk · SLA 2 days
Model assessment
Eligible · confidence 0.86 Eligible · confidence 0.86 Insufficient evidence · confidence 0.41
Sources
policy §4.2 · assessor report · 12 documents
Authority
High-impact decision — a person approves
  1. 14:02:11 model assessment recorded · sources attached
  2. 14:02:11 routed to human approval · high-impact
  3. 14:07:52 approved by A. Rivas · acted in ERP and CRM
  4. 14:09:03 returned to intake · missing form requested
  5. 13:51:02 exception EXC-04 · operator notified
A working reference implementation on synthetic data — published so you can inspect how the system behaves, not a client screenshot.
Open the system View architecture Read evaluation

Control and ownership

Built to run in your environment. Built to remain yours.

01

Deployment

Cloud, private cloud, on-premises or hybrid — selected with you.

02

Authority

High-impact decisions remain with people; automation acts within clear, tested permissions.

03

Ownership

Architecture, code, operating knowledge, dependencies and exit options are documented.

The control model

  1. Permissions
  2. Data zones
  3. Human approval
  4. Monitoring
  5. Transfer

Inspect the full control model

Method

From operating problem to a production system you can own.

Every stage ends with something you can inspect and keep.

  1. 01

    Frame

    Mandate brief

    Current operation, target operation and acceptance criteria.

  2. 02

    Architect

    Architecture & control model

    Architecture, tradeoffs, security and the control model.

  3. 03

    Build

    Verified increment

    Working increments running in the agreed environment.

  4. 04

    Operate & transfer

    Production runbook

    Hardened production, documentation, trained owners and transfer.

Inspect the engineering method and delivery artifacts

One operating problem. One architecture. One accountable engineering organization.

Tell us what is not working.

You do not need a technical specification. Describe the operation, what must change and the constraints we should respect.

Mandate Brief

DRAFT · MB-2480 · assembled from your answers

Operating problem
Manual, multi-team claims reassessment with no single case record.
Consequence
11-day cycle time; status invisible; exceptions handled informally.
Environment
Client cloud; existing CRM and ERP; data residency in region.
Boundaries
High-impact decisions remain with people; PII confined to region.
Readiness
Systems named; volumes known; acceptance criteria to be agreed.

You review and edit every section before anything is sent. No calendar is forced before SageTensor has read the brief.

Describe the challenge Submit an RFP Request an NDA first

We will respond with an approach — or tell you plainly when we are not the right fit.