AI Automation
AI That Produces Results
Not Just Experiments
Practical AI for Mid-Market Business
Start With One High-Value Opportunity
AI Frontline Intelligence
Connect conversations, customer history, and workflows so your team can respond with better information, faster—while keeping a human in control of every action taken.
AI Pricing Intelligence
Move from static price lists and individual judgment to faster, more consistent recommendations that account for cost, margin, and historical outcomes.
AI Sales & CRM Intelligence
Use the activity and history already in your CRM to focus sales attention where it can make the greatest difference.
AI Operations Intelligence
Connect the operational signals your business already produces and focus attention on the exceptions most likely to affect customers, capacity, or delivery.
AI Knowledge Intelligence
Turn scattered documentation and hard-won experience into a practical knowledge assistant that helps employees find reliable answers faster.
AI Financial Engine
Surface the operational patterns behind financial performance so leadership can act before a margin or forecast issue becomes a quarter-end surprise.
Built Around Your Existing Business
ProStratus takes a focused approach. Instead of starting with a platform or a trend, we start with a single, well-defined business problem—one with a clear operational or financial outcome—and build the solution around the systems and information your company already relies on.
Human-Guided by Design
As an Anthropic Claude partner, ProStratus brings frontier AI into everyday business operations while keeping people in control. A human reviews what the AI recommends before it is acted on, so your team gains speed and insight without giving up judgment or accountability.
Turn Information Into Action
Each AI Automation service is built around a specific operational need—from turning customer conversations into real-time intelligence to improving pricing, scheduling, financial analysis, and company-wide knowledge access.
Prove the business case before expanding further.
Partner with ProStratus to get things done faster.
You know AI is going to affect your business. The harder question is knowing where to start—and how to turn that into something measurable rather than another pilot project that quietly fades out. ProStratus works with mid-market manufacturing, industrial, engineering, distribution, and professional services companies to identify one high-value opportunity, build a working solution around it, and prove the business case before expanding further.
Most companies in this position—typically 50 to 500 employees—already have everything they need to get real value from AI: established business systems, Microsoft 365, a CRM or ERP, and years of operational data sitting in documents, emails, calls, and spreadsheets. What is usually missing is not the data. It is the internal expertise and roadmap to connect that information to AI in a way that actually changes how work gets done.
Frequently Asked Questions
What Does ProStratus’s AI Practice Actually Do?
We identify a specific, high-value business problem in your operations, build a focused AI solution around it using your existing systems and data, and prove measurable results before expanding to additional use cases.
Do We Need an Internal AI Team?
No. ProStratus provides the roadmap, implementation, and ongoing support.
What Size Company Is This For?
These services are designed for companies with roughly 50 to 500 employees that have real operational complexity but have not built an internal AI function.
AI Frontline Intelligence
Turn Every Customer Conversation Into Real-Time Intelligence
Capture the knowledge hidden in frontline conversations
Give sales, service, dispatch, and support teams timely guidance while leadership gains a clearer view of customer needs and risk.
Every day, your frontline teams—sales, service, dispatch, and support—have conversations that contain some of the most valuable information in your business: what customers actually need, where deals are getting stuck, which issues keep recurring, and what is about to go wrong before it shows up as a lost account or a failed job.
The cost of losing that knowledge is real. Contact center agents leave at a rate of roughly 31% a year, taking hard-won knowledge with them, and agents can lose up to 12% of their time to after-call notes instead of customers. AI Frontline Intelligence captures that information as it happens and turns it into structured, searchable intelligence instead of letting it disappear into a call log or a technician’s notebook.
The system listens in real time, retrieves relevant customer and ticket history, and recommends next-best actions and knowledge-base articles—while a human always reviews and approves what gets written back before it is applied. It also catches the “whispers”: offhand comments that never make it into a ticket, such as a customer mentioning a new site opening next quarter or suggesting they may switch providers if an issue repeats.
For manufacturing, distribution, field service, and professional services companies, that means faster response to customer issues, earlier warning on at-risk accounts, and a frontline team that has the right information at the right moment. Early real-time agent-assist data shows representatives handling up to 50% more conversations with an expected ROI of under one year.
Key Benefits
Connect conversations, customer history, and workflows so your team can respond with better information, faster—while keeping a human in control of every action taken.
Frequently Asked Questions
What Is AI Frontline Intelligence?
It is a system that captures customer conversations and field interactions and turns them into structured, real-time business intelligence.
Who Is This For?
Companies with frontline sales, service, support, or dispatch teams that generate valuable customer information that is not currently captured or analyzed systematically.
Does This Replace My Frontline Staff?
No. It is designed to make your existing team more effective and consistent, not to automate people out of the conversation.
AI Pricing Intelligence
Faster Quotes. Smarter Pricing. Fewer Margin Surprises.
Turn pricing history into better quoting decisions
Give estimators and sales teams consistent, margin-aware recommendations grounded in your real business data.
Pricing and quoting decisions are often made under time pressure, with incomplete information, and inconsistently across a sales or estimating team—which means margin gets left on the table on some deals and deals get lost on others. AI Pricing Intelligence applies your company’s historical pricing, cost, and win/loss data to produce faster, more consistent quote recommendations.
Rather than relying on a single estimator’s experience or a static price list, your team gets pricing recommendations grounded in what has actually worked: the deals that closed, the deals that did not, the margins achieved, and the patterns already present in your pricing and quoting history.
This is especially valuable for manufacturing, industrial, and distribution companies where configurations, volume tiers, customer-specific terms, and other pricing complexity make manual quoting slow and inconsistent across a team.
AI Pricing Intelligence is an active ProStratus proof-of-concept built around real quoting data and real operational constraints. The approach is being refined in working business environments rather than in a vacuum.
Key Benefits
Move from static price lists and individual judgment to faster, more consistent recommendations that account for cost, margin, and historical outcomes.
Frequently Asked Questions
What is AI Pricing Intelligence?
A system that uses your company’s historical pricing, cost, and win/loss data to generate faster and more consistent quote recommendations.
Is this a finished product?
It is an active proof-of-concept at ProStratus, being built and refined in partnership with manufacturing and distribution clients.
AI Sales & CRM Intelligence
Know Which Deals Need Attention Before You Lose Them
Make your existing CRM more useful
Surface stalled opportunities, overdue proposal follow-ups, and sales-process risk before the quarter is over.
Most CRM systems are good at storing data and bad at telling you what it means. AI Sales & CRM Intelligence works with your existing CRM to surface which opportunities are stalling, which proposals need follow-up, and where your sales process is quietly losing deals—instead of leaving that analysis to whoever has time to run a report.
By connecting CRM activity, proposal status, and historical win/loss patterns, this approach helps your team see which opportunities need attention and why. It turns the CRM into an active decision-support tool rather than just a record-keeping system.
For mid-market B2B companies with a defined sales process but limited bandwidth to analyze it, sales leadership sees risk and opportunity in real time instead of discovering a stalled deal only after the quarter is already over.
The ProStratus approach starts with a system your team already relies on and makes it smarter rather than replacing it with something new to learn.
Key Benefits
Use the activity and history already in your CRM to focus sales attention where it can make the greatest difference.
Frequently Asked Questions
What is AI Sales & CRM Intelligence?
A way of analyzing your existing CRM data—opportunities, proposals, and activity history—to surface which deals need attention before they are lost.
Do we need to switch CRM systems?
No. This works with the CRM your team already uses.
AI Operations Intelligence
Catch Operational Exceptions Before They Become Problems
See patterns that individual planning tools miss
Bring scheduling, forecasting, and workflow information together so exceptions surface early.
Scheduling conflicts, capacity shortfalls, and workflow exceptions rarely show up as a single clear signal. They build across dozens of small decisions until a crew is double-booked, a deadline slips, or a customer notices before your own team does.
AI Operations Intelligence watches for those patterns across your scheduling, forecasting, and workflow systems so exceptions surface early rather than after the fact.
For manufacturing, field service, and distribution companies managing multiple sites, crews, or production lines, this means fewer last-minute scrambles and a clearer picture of real operating capacity using information the business already generates.
Rather than replacing existing planning tools, AI Operations Intelligence is designed to connect them and identify the cross-system patterns that are easy for a busy team to miss until they become expensive.
Key Benefits
Connect the operational signals your business already produces and focus attention on the exceptions most likely to affect customers, capacity, or delivery.
Frequently Asked Questions
What is AI Operations Intelligence?
A system that analyzes scheduling, forecasting, and workflow data to surface operational exceptions before they become larger problems.
Does it replace our planning systems?
No. It works with existing operational and planning systems to connect information and reveal patterns across them.
AI Knowledge Intelligence
Give Every Employee Instant Access to What Your Company Already Knows
Make institutional knowledge available on demand
Ground answers in your real SOPs, documents, customer history, and prior work—not generic internet content.
Every company has someone who has been there twenty years and somehow knows the answer to everything: how a process really works, what a customer always needs, which system does what, or where that one document from three years ago is filed.
AI Knowledge Intelligence turns that institutional knowledge into a company-wide assistant grounded in your actual SOPs, documentation, customer history, and prior work. Instead of a generic chatbot, employees get answers based on information your company has already created and approved.
For growing companies—especially those with multiple sites or significant staff turnover—this reduces the time experienced employees spend answering the same questions and keeps institutional knowledge from walking out the door when someone retires or moves on.
Some of the most valuable AI use cases are not about creating new information. They are about finally making full use of the information your company already has.
Key Benefits
Turn scattered documentation and hard-won experience into a practical knowledge assistant that helps employees find reliable answers faster.
Frequently Asked Questions
What is AI Knowledge Intelligence?
A company-wide assistant grounded in your own SOPs, documentation, and institutional knowledge—not generic AI-generated answers.
Where do the answers come from?
From your company’s documents, history, and processes, so answers reflect how your business actually operates.
AI Financial Engine
See Where Your Margin Is Really Going
Move from reporting what happened to understanding why
Connect financial and operational data to reveal the drivers behind margin, forecasts, and profitability.
Financial reporting tells you what already happened. AI Financial Engine is built to tell you why—surfacing margin erosion, forecast anomalies, and profitability drivers buried inside the financial and operational data your company already produces.
By connecting financial outcomes with operational activity such as scheduling, pricing, and sales, finance leaders can see profitability at a level of detail that a standard monthly report usually cannot provide.
For manufacturing, industrial, and distribution companies with complex cost structures, this means catching margin erosion on a product line or customer segment while there is still time to act rather than explaining it after the quarter closes.
AI Financial Engine uses information your company already has to support faster, more confident financial decisions than a traditional reporting cycle allows.
Key Benefits
Surface the operational patterns behind financial performance so leadership can act before a margin or forecast issue becomes a quarter-end surprise.
Frequently Asked Questions
What is the AI Financial Engine?
A tool that analyzes your existing financial and operational data to surface margin erosion, forecast anomalies, and profitability trends.
What information does it use?
It uses the financial and operational information your company already produces, connected in a way that reveals patterns traditional reports may miss.