Manual Follow-Up
Employees repeatedly chase suppliers, customers, and internal teams for information.
AI-Enabled Operations Transformation
Turn fragmented operations into intelligent flow.
Stravantech connects systems, automates critical workflows, and turns operational data into decision-ready intelligence—without forcing your organization to replace every tool it already uses.
Workflow Automation · Systems Integration · Decision Intelligence · Cloud Foundations
The Operating Reality
Most operational problems do not begin with a lack of software.
They begin in the gaps between systems, teams, documents, inboxes, decisions, and accountability.
Fragmented Systems
Important data is divided across ERP platforms, email, spreadsheets, messaging tools, and shared drives.
Limited Visibility
Leadership discovers delays and exceptions after they have already affected the business.
Inconsistent Processes
Critical workflows depend on individual habits rather than structured operating mechanisms.
Slow Decisions
Data exists, but it is not organized into timely, decision-ready intelligence.
The Stravantech Model
Connect. Automate. Decide.
STAGE 01
Connect
Create a governed operating foundation across identity, documents, communications, applications, and data.
- Microsoft 365 and cloud foundations
- ERP and application integration
- Document and knowledge architecture
- Data pipelines and system connectivity
STAGE 02
Automate
Replace repetitive handoffs and follow-up with structured workflows, intelligent routing, and controlled AI assistance.
- Workflow automation
- AI assistants and agents
- Communication orchestration
- Approvals and escalation
- Document processing
STAGE 03
Decide
Surface exceptions, performance signals, and recommended actions before operational problems become financial problems.
- Executive dashboards
- Daily exception briefs
- Predictive indicators
- Operational analytics
- Decision support
Capabilities
Technology organized around the way your business actually operates.
Operational Assessment and Roadmap
Map workflows, identify friction, quantify impact, and prioritize the strongest automation opportunities.
Workflow Automation and AI Agents
Build controlled automations for repetitive operational work, communication, routing, monitoring, and escalation.
Systems and Data Integration
Connect ERP platforms, Microsoft 365, email, messaging tools, databases, APIs, and operational applications.
Decision Intelligence
Develop dashboards, exception reporting, analytical models, and management intelligence tied to measurable decisions.
Digital and Cloud Foundations
Strengthen identity, access, documents, collaboration, security, and cloud infrastructure before layering on advanced automation.
Managed Optimization
Monitor deployed workflows, improve performance, manage exceptions, and expand automation as business needs evolve.
Where We Start
Start with one painful workflow. Build from evidence.
Problem
Project managers manually contact suppliers for order status, availability, and delivery dates.
Mechanism
Scheduled supplier outreach, structured response capture, automatic reminders, escalation logic, and centralized status visibility.
Outcome
Less manual chasing, faster exception identification, and more consistent customer communication.
Systems
ERP, email, Microsoft Teams, supplier portals, and operational dashboards.
Problem
Order status lives across ERP records, email threads, and spreadsheets, so every “where is my order?” question requires someone to reconstruct the answer by hand.
Mechanism
A consolidated order timeline assembled from ERP, logistics, and communication data, with automated status updates and flags for at-risk orders.
Outcome
Fewer status inquiries handled manually, earlier detection of delays, and one shared view of order health for teams and customers.
Systems
ERP, shipping and logistics platforms, email, and operational dashboards.
Problem
Quote requests arrive by email in inconsistent formats and are triaged, entered, and tracked manually, so responses are slow and requests are dropped.
Mechanism
Structured intake capture, document and attachment extraction, routing to the right estimator, and end-to-end tracking from request to response.
Outcome
Faster quote turnaround, fewer dropped requests, and consistent visibility into the intake pipeline.
Systems
Email, document storage, ERP or CRM, and workflow automation tooling.
Problem
Certificates, drawings, packing lists, and invoices move as email attachments and are filed, matched, and re-keyed by hand.
Mechanism
Automated capture, classification, and data extraction; validation against orders; and structured routing for review and approval.
Outcome
Less manual filing and re-keying, fewer documentation errors reaching customers, and a searchable record of what was sent and approved.
Systems
Email, SharePoint or document management, ERP, and approval workflows.
Problem
Leadership learns about late orders, quality holds, and blocked approvals after the impact has occurred, and follow-through depends on individual memory.
Mechanism
A daily exception brief compiled from operational systems, listing open exceptions with owners, age, and recommended next actions.
Outcome
Earlier intervention, clearer accountability, and management attention directed at exceptions rather than routine reporting.
Systems
ERP, project and task tools, communications, and analytics dashboards.
Problem
Process knowledge, specifications, and precedent live in scattered documents and in people’s heads, so answers depend on who happens to be available.
Mechanism
A governed retrieval assistant over approved documents and data, with citations, access controls, and clear boundaries on what it can answer.
Outcome
Faster, more consistent answers for teams and fewer interruptions for the experts who currently field every question.
Systems
SharePoint and document stores, Microsoft 365, ticketing, and chat tools.
Current Fieldwork
Building the intelligent operating layer for a global manufacturing and distribution business.
Operating Environment AS-IS
- Cross-border sourcing
- Custom manufacturing
- Supplier coordination
- Order and delivery management
- Quality and documentation requirements
- Customer status communication
Observed Friction FINDINGS
- Manual supplier follow-up
- Fragmented operational communications
- Limited order-status visibility
- Inconsistent customer updates
- Disconnected document and collaboration practices
- Management dependence on individual follow-through
Transformation Focus IN BUILD
- Microsoft 365 and identity foundation
- Structured supplier communication
- Order and shipment visibility
- Customer-status automation
- Daily management exception reporting
- ERP, email, collaboration, and data integration
Engagement in progress. Specific performance results will be published only after implementation and measurement.
How We Work
Practical transformation, delivered in controlled stages.
Discover
Interview stakeholders, observe workflows, and identify operational dependencies.
Prioritize
Score opportunities by financial impact, operational pain, feasibility, risk, and repeatability.
Design
Define the future workflow, data requirements, governance, controls, and success measures.
Build
Implement a focused solution with users involved throughout testing and adoption.
Measure and Scale
Evaluate results, improve the operating model, and expand only where value has been demonstrated.
We do not begin by asking where AI can be installed. We begin by identifying where the operation is losing time, visibility, control, or money.
Why Stravantech
Business judgment and technical execution should not live in separate rooms.
Business-First
Every engagement begins with operating economics, workflow reality, risk, and measurable outcomes.
Technically Grounded
Solutions are designed with practical understanding of systems integration, analytics, automation, cloud platforms, and AI orchestration.
Measurement-Driven
Success is defined through adoption, cycle time, visibility, accuracy, financial impact, and decision quality—not technology deployment alone.
Founder
Stravantech was founded by Seth Siek, an analytics and decision-science executive with more than 15 years of experience translating complex data, financial dynamics, and operational problems into executive decisions and practical solutions.
View Founder ProfileGet Started
Find the first workflow worth fixing.
Begin with a focused assessment of one operational process. We will map the current state, identify the real constraints, estimate the opportunity, and recommend a practical path forward.