CUSTOM AI SYSTEMS FOR YOUR ORGANIZATION

We build systems,
not individual workflows.

Custom AI systems built around your organization. Your people, data, and tools work together, with each result informing the next decision.

Explore our systems Explore our healthcare and manufacturing case studies

Shared context. Coordinated decisions.
Feedback that informs what happens next.

UNDERSTANDACTADAPT

01 / WHAT WE BUILD

One organization.
Shared context.

Your company’s knowledge, priorities, and policies give the system a common basis for decisions. Structured workflows and flexible employee support work from that shared context.

01

Agentic workflows

For tasks that need high reliability.

Build defined steps, output checks, and approval points into work where consistency matters. AI agents follow agreed rules, record their actions, and bring exceptions to the right person.

  • Defined rules
  • Output checks
  • Human approval
02

Unified company context

A shared basis for every decision.

Bring company records, knowledge, priorities, and policies together. Give each person and AI agent the context they need, within their access permissions. Keep shared information current as work progresses.

  • Shared knowledge
  • Company priorities
  • Access permissions
03

Built around each employee

Flexible support for individual needs.

Shape AI assistance around each employee’s role, responsibilities, and way of working. Let people explore questions, prepare work, and handle changing needs while staying connected to company context and agreed controls.

  • Role-based assistance
  • Flexible interaction
  • Shared context
04

Feedback and adaptation

Results guide the next improvement.

Bring outcomes, exceptions, and employee feedback back into the system. Update plans and shared knowledge as conditions change. Your team reviews proposed improvements and approves changes against agreed goals.

  • Outcome tracking
  • Employee feedback
  • Reviewed improvements

THE POSSIBILITIES, IN PRACTICE

Your organization.
One connected system.

See how information, decisions, and feedback
work together in a complete system.

01 / WORK ARRIVES

Orders + inventory + capacity

BUILT AROUND YOUYour AI
system

Plan. Schedule. Adapt.

03 / WORK MOVES FORWARD

A working plan, beyond Excel

  1. INPUT

    A work order arrives

    Orders, inventory, and capacity share one planning context. A new order updates the system’s picture of demand.

  2. AI + YOUR SYSTEMS

    Advanced planning & scheduling

    Coordinate materials, priorities, and capacity across production. Your team reviews constraints and exceptions.

  3. OUTPUT + FEEDBACK

    An optimized production plan

    Move beyond manual Excel planning. Production progress and capacity changes inform the next schedule.

Illustrative systems, not a live demo. Your team sets the rules, reviews decisions, and approves changes.

02 / CLIENT CASE · HEALTHCARE

Evidence, assessment,
and clinician review.

Precedent case review interface with fictional demonstration records.

Precedent · Product interface with fictional demonstration data

An estimated 250 hours saved per surgeon, per year. Based on one client-reported hour per day and 250 assumed working days. Precedent brings source information, AI assessments, and clinician review into one case review system.

Case evidenceDraft assessmentSurgeon review
Read the surgical consultation case

03 / CASE STUDY · MANUFACTURING

One production
planning system.

AI ERP planning workspace with synthetic work orders and an illustrative schedule.

AI ERP · Product interface with synthetic demonstration data

For an automobile parts manufacturer in Asia, SmartInterop brought inventory, work orders, and production scheduling into one planning system. The engagement reports 4 hours less daily planning and 7% fewer late orders.

Use available inventoryPlan work ordersSchedule production
Read the ERP case study

04 / HOW WE WORK

Design the whole.
Build it with purpose.

Start with your organization’s goals, decisions, and responsibilities. Design how the parts work together, then build and test the system in manageable stages.

  1. 01

    Understand the organization.

    Map how teams use information, make decisions, and respond to results. Define the outcomes the system must support.

  2. 02

    Build the system.

    Give data, tools, and AI clear roles. Connect them through shared context, access rules, and human review.

  3. 03

    Improve through feedback.

    Track results against agreed goals. Use operational evidence and team feedback to guide each approved improvement.

05 / SMARTINTEROP CORP

Built for your organization.
Designed to work together.

SmartInterop builds custom AI systems around the people, knowledge, and decisions that keep an organization running. We bring the parts together, with clear ownership and feedback that keeps the system useful.

COMPANY INFORMATION

SmartInterop Corp

Business address

14 Estates Ct
San Carlos, CA 94070-3504

SAN CARLOS, CALIFORNIA / USA