Services
What We Do
Every engagement at InfraShift starts the same way — we listen. We talk to your people. We map your workflows. We learn how your operation actually works before we recommend anything. We work with operations-heavy companies across logistics, healthcare, manufacturing, distribution, real estate, and beyond. The industry changes. The problems are almost always the same. Here's the menu of what that typically looks like.
Operations Audit
$8,000–$15,000
The audit is the foundation of everything. Before we build anything, we need to understand everything — your people, your processes, your systems, and where the real problems live.
Over 1–2 weeks we conduct structured interviews with your operations team, review your current technology stack, map your key workflows end-to-end, and identify every place where time and money are being lost. This isn't a generic report. It's a specific roadmap for your specific operation.
What's Included
- Complete current-state map of your operations
- 5–8 specific improvement opportunities ranked by ROI and complexity
- Technology and process recommendations specific to your situation
- Recommended starting point with a clear business case
- Rough implementation timeline and budget for each opportunity
Timeline
1–2 weeks
Best For
Companies that know something is wrong but aren't sure where to start.
Illustrative Example — Based on real operational patterns
Regional Logistics Company — 200 Employees, $55M Revenue
The Problem
Leadership knew the operation had inefficiencies but couldn't agree on where to focus. Three separate initiatives had stalled in the past year because nobody had a clear picture of what was actually broken versus what just felt broken.
What We Did
Over 10 business days we interviewed 14 people across dispatch, billing, customer service, and operations leadership. We mapped 9 core workflows end-to-end. We identified 7 specific improvement opportunities with concrete ROI estimates attached to each one.
The Numbers
What happened next: They proceeded with a Systems Architecture engagement targeting the top two opportunities. Combined project fee: $58,000. Combined annual savings: $410,000.
Systems & Process Optimization
$18,000–$40,000
You have a specific process that's costing too much. Maybe it's customer intake. Maybe it's billing. Maybe it's a report that takes three hours to build every morning. Maybe it's how your team communicates with vendors or customers.
We redesign that process from the ground up. Sometimes that means automation. Sometimes it means eliminating unnecessary steps. Sometimes it means connecting systems that should have been integrated years ago. We use whatever approach produces the best result — which increasingly means AI and automation, but always means thinking about the process first.
What's Included
- Workflow analysis and redesign
- Custom build — automation, integrations, AI layer where appropriate
- Testing against real data and real scenarios
- Deployment to your environment
- Documentation and staff training
Timeline
3–6 weeks
Best For
Companies with specific workflows that are costing too much in time and labor.
Illustrative Example — Based on real operational patterns
Regional Freight Carrier — 180 Employees, $48M Revenue
The Problem
Three people in billing spent 6 hours each per day manually matching proof-of-delivery documents to open invoices. Errors caused freight holds and customer calls. The backlog grew every Friday and had to be cleared on Monday before new work could start.
What We Did
An end-to-end automation pipeline that ingests incoming POD documents, extracts key data fields using AI, matches them against open invoices in the billing system, auto-closes clean matches, and routes exceptions to a human review queue with all relevant context pre-loaded. Integrated directly into their existing TMS. Staff trained before go-live.
The Numbers
What the team said: Billing staff went from spending 75% of their day on matching to less than 20% — focusing instead on exception handling and customer communication.
Operations Architecture
$45,000–$90,000
You're not trying to fix one process. You're trying to transform how your operation works.
We come in as your operational systems partner. We audit your operation, design a new architecture, and build the interconnected systems that make it real. This covers multiple departments, multiple workflows, and the integrations that connect them.
What You Get
- Complete operational redesign across multiple departments
- Custom-built solutions for each major workflow
- System integrations — your tools actually talk to each other
- Leadership and operations dashboards
- Documentation and training for every team member
Timeline
6–10 weeks
Best For
Operations-heavy companies ready to make a serious move on efficiency.
Illustrative Example — Based on real operational patterns
Healthcare Administration Group — 220 Staff, 3 Locations
The Problem
Patient intake was entirely manual. Appointment reminders were inconsistent and sent by hand. Pre-authorization for standard procedures took an average of 4 days because staff were making phone calls and filling out forms. No-show rate was sitting at 24%.
What We Built
Three interconnected systems redesigned and deployed in a single engagement:
- Automated intake pipeline — digital intake forms with AI triage routing patients to the right care team before they arrive
- Reminder and confirmation system — multi-channel (SMS + email) automated outreach at 72 hours, 24 hours, and 2 hours before appointments, with two-way confirmation handling
- Pre-authorization workflow — AI-assisted processing for standard cases with automatic submission, status tracking, and exception escalation for complex cases
The Numbers
Compliance note: Everything deployed on their private on-premises infrastructure. No patient data touches a public cloud. HIPAA compliance documentation included.
Private Infrastructure & AI Deployment
$75,000–$150,000
For companies that need serious infrastructure work. Private cloud deployments, air-gapped environments, HIPAA-compliant systems, AI deployed on your own hardware.
We design, build, and deploy it. Everything runs on infrastructure you control — in your building, on your servers, under your policies. Our infrastructure is hosted in a SOC 2 compliant data center. For regulated industries this isn't a nice-to-have — it's a requirement.
What We Deploy
- Private infrastructure design and deployment
- Custom AI systems on your own servers
- HIPAA-compliant architecture and documentation
- Integration with your existing systems
- Staff training and optional ongoing support
Timeline
8–14 weeks
Best For
Any company in a regulated industry or with data sovereignty requirements — healthcare, finance, logistics, legal, government contractors — who can't or won't send sensitive data to a public cloud.
Illustrative Example — Based on real operational patterns
Mid-Size Freight Broker — 310 Employees, $135M Revenue
The Problem
The operations and sales teams were spending an estimated 2+ hours per person per day hunting for information across disconnected systems — shipment status in the TMS, carrier rates in spreadsheets, customer contract terms in email threads. Leadership wanted an internal AI assistant that could answer operational questions instantly. Legal immediately flagged one hard requirement: no customer data, no carrier contracts, nothing sensitive could be sent to OpenAI, Google, or any external API.
What We Built
A fully private AI deployment on the client's own servers:
- Private LLM deployed on dedicated on-premises hardware
- RAG (Retrieval-Augmented Generation) pipeline ingesting live TMS data, carrier rate database, and contract document library
- Internal chat interface accessible to ops and sales teams
- Role-based access so sales sees customer-relevant context and ops sees operational context
- Zero data leaves the building. Air-gapped from public AI APIs.
The Numbers
Why this engagement specifically: The client had received proposals from two other vendors who proposed cloud-based solutions their legal team would never approve. This was the only architecture that solved both the business problem and the compliance requirement simultaneously.
Fractional Operations & Systems Officer
$3,500–$8,000/month
You need senior operational and systems leadership. But you don't need a $300,000 full-time executive.
We stay involved in your operations on an ongoing basis — attending key meetings, reviewing technology decisions, advising your team, and building things as they come up. You get the expertise of a seasoned VP of Operations and systems architect, available when you need it.
What's Included
- Monthly strategy session with leadership
- Ongoing access for questions and decisions
- Review of technology proposals and vendor pitches
- Small builds and optimizations each month
- Quarterly roadmap review
Commitment
3-month minimum, then month-to-month
Best For
Any growing company — regardless of industry — that needs senior AI and operations leadership without the cost and commitment of a full-time executive hire.
Illustrative Example — Based on real operational patterns
Growing E-Commerce Operations Company — 85 Employees, $28M Revenue
The Problem
The COO was making every technology decision personally because nobody else on the team had the background to evaluate vendors, scope projects, or know when an internal build was better than buying software. Three SaaS tools had been purchased in the past 18 months that were never fully implemented. A fourth was being evaluated. The ops team had ideas for automation but no one to translate them into real projects.
What We Built
Starting at $4,500/month on a 3-month initial commitment:
- Two strategy sessions per month with the COO and ops leadership
- Ongoing Slack access for the team to ask questions and get real-time input on decisions
- Reviewed and rejected the pending SaaS purchase in month one (saving $34,000/year in subscription fees)
- Scoped and oversaw two internal automation projects executed by their existing team
- Built one lightweight internal tool directly (order exception dashboard) — included in the monthly fee
- Delivered a 12-month operational AI roadmap at the end of month three
The Numbers
What most clients do after month three: Continue month-to-month. The engagement transitions from “fix the backlog” to “keep the roadmap moving” — typically 1–2 builds per quarter plus ongoing advisory.
Not sure which engagement is right for you?
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