Meet Auto Agentic.
"Every AI vendor pitching you this year is selling a tool that solves one problem. We sell the same outcome. And we leave your operation smarter every time you deploy one, in a way no competitor can match by shopping the same market. The difference is what you are left with twelve months from now."
How We Help You.
- What we build. AI workflows your team uses day one. Daily Intelligence Briefing, Sales, BDC, Service, or Custom.
- What you own. Each store keeps its own data. Leadership sees the group on the same KPIs, measured the same way.
- What it costs to grow. Each workflow connects more of your systems into the foundation underneath. The second workflow costs less than the first.
- What you walk away with. A tool today. A foundation tomorrow. One workflow at a time.
What we build.
Five workflows your team can run on day one. Pick the one that closes the leak costing you the most — Daily Intelligence Briefing, Sales, BDC, Service, or a Custom build for the gap none of the four cover.
One system. Four surfaces. Built one workflow at a time, on top of the systems you already run.
How a workflow actually runs in your store.
A short walkthrough: what gets built, who owns it on your side, and what it produces by week one.
Below: the four launch workflows plus Custom. Each one maps to a specific operational leak.
The five launch workflows.
Open any tile to see the walkthrough video and what it produces.
- Delivered before 7 AM. Consolidates overnight performance across every department.
- Exception-detection agents flag only what needs attention.
- Coaching queued by name, for the people who need it that day.
- Moves the quality of morning decisions and the hours your leadership spends reconciling reports.
- Weekly scorecards for every rep. Appointment-to-close conversion tracked specifically.
- Coaching queued by rep name on the exact gaps that cost them deals.
- Top-performer patterns extracted at one rooftop and propagated across the group.
- Moves appointment-to-close conversion and coaching quality.
- Kept separate from Sales because BDC is structurally a different function.
- Missed-call recovery queued by priority each morning.
- Intent classification and coaching sharpen every week.
- Moves appointment set rate and first-response time.
- Missed-recommendation detection by advisor and by RO.
- Pre-fail outreach queued for customers whose service pattern predicts defection.
- Retention compounds. Lifetime value compounds. Service absorption compounds.
- Moves capture rate and pre-fail outreach conversion.
Every workflow is run by a team, not a tool.
Each workflow you saw above is built from three to five named AI agents — each one trained for a specific job in a dealership. Over 100 specialists across seven teams, with the four featured below in each category as the ones dealerships hit first. Not one general-purpose chatbot trying to do everything.
Analytics & Research Agents
They read the numbers your team doesn't have time to read, and tell you what changed this week.
Pascal — Quantitative Research Analyst
Sage — Qualitative Research Expert
Zoe — Data Analyst & Visualizer
Reid — Competitor Analyst
Operations Agents
They keep the moving parts moving — SOPs followed, projects tracked, the boring stuff that breaks first.
Magnus — Business Systems Analyst / SOP Expert
Alyssa — Project Manager
Anna — HR Analytics and Data Management Specialist
Jesse — Legal Assistant, Contract & IP Law
Sales Agents
They diagnose why the floor is leaving close rate on the table, and coach the reps who need it.
Susan — Sales Manager
Declan — Sales Coach
Dana — Leads Profiler
Ami — Persuasion Expert
Service Agents
They surface missed recommended services and coach advisors on the patterns costing the drive lane revenue.
Percy — Performance Management Specialist
Eliza — Employee Relations Specialist
Ryan — HR Administration & Operations Specialist
Maddie — Conflict Management Coach
Content & Creative Agents
They write the messages your BDC, marketing, and sales teams send — in your store's voice, at the volume you need.
Lexi — Content Writer
Martina — Marketing Planner
Maxwell — Email Writer
Jinna — SEO Optimized Web Page
HR & Training Agents
They onboard new hires, coach managers, and keep training from collapsing the second the GM gets busy.
Grace — Organizational Development, Learning and Training Specialist
Ava — Leadership Coach
Morgan — Recruitment Expert- Anna — HR Analytics and Data Management Specialist
Finance & Strategy Agents
They turn the financials into a weekly story leadership can act on, not a PDF that gets skimmed.
Betty — Budget Analyst
Kellie — Measurement Analyst
Samantha — Business Plan Strategist
Fico — Industry Landscape Analyst
A workflow is a team of three to five of these agents working together — not one model trying to do every job.
The specific agents on each workflow are named on its page.
Browse the full agent libraryThis is what it looks like running.
You have seen what the workflows do. This is the system running underneath them. Brand Central, the Knowledge Hub, the chat, and the Workspace. Every workflow you deploy assembles through these four surfaces, one connection at a time.
Simple Reporting Workflow
Phase I
Upload Reports
- Vendor Coordination
Phase II
Collaborate / Refine
- Feasibility
- Design
- Synthesis
Phase III
Implement
- Build
- Test
- Trust
Phase IV
Continuous Improvement
- Tech Refinement
- Agent Enhancement
- Vendor Integration
How We Help You
You buy a workflow that functions like a tool. You build an architecture that changes the foundation of how you work, one workflow at a time.
Five things that get better the longer you run it.
Every workflow you add makes the next one cheaper, faster, and smarter than the last.
Each store keeps its own data. The Knowledge Hub — the shared layer that connects your stores — lines the numbers up the same way, so leadership finally compares stores apples-to-apples.
What changes: a win at one rooftop becomes a playbook for the rest.
The plumbing — DMS, CRM, phones, service — gets connected once per rooftop. Every workflow after that reuses it.
What changes: workflow two is cheaper than one. Workflow ten is a fraction of two.
A workflow does two jobs at the same time: it fixes today's leak, and it lays one more piece of the architecture your group will need for true Agentic AI.
What changes: you're not buying tools that expire — you're building a system that keeps paying.
More workflows, lower cost per workflow, more capability — that's the crossover.
A trend that's quiet at one store gets loud when it shows up at five.
What changes: you spot problems and opportunities that no single DMS report could surface.
A competitor who starts two years from now starts at zero — no pattern library, no normalized data, no connected stores.
What changes: money can buy software. It can't buy the operating history you'll already have.
Built for how your group actually operates.
Security and compliance.
Your OEM contractual obligations, state and federal privacy rules, and dealership-level compliance posture stay intact when we connect. The same framework that lets us work with regulated environments like Bruce Power and Alterna Savings is what your CFO and IT lead see when they review us.
How the pilot works.
Every engagement begins the same way: a two-stage pilot. One workflow, one rooftop, one or more KPIs agreed during discovery. Stage 1 is thirty days. Stage 2 is ninety days. Either side can stop without obligation between stages.
Discovery
In the first conversation we do not pitch. We listen. What are you tracking today? What is costing you the most? Which systems do you run? Where does the data go when it leaves one of those systems?
By the end of discovery, we have a clear map of your operation, your existing systems, and the operational leaks that are most urgent. We name a short list of workflows from our library that fit, or we flag that a Custom Workflow is the right scope.
You receive a one-page discovery summary within 48 hours.
Stage 1 — Data Design Partner
We connect your systems, ingest the data, and run baseline analysis. We deliver a one-page operational insights report on the rooftop. The first thing your team can hand to leadership. Plain language, prioritized findings, two to three actionable observations.
If you decide not to proceed to Stage 2, you keep the report and the documentation. No continuation fee.
Stage 2 — Sales Workflow Pilot
We configure three to five of our existing agents for your rooftop. We validate against historic data. We confirm the briefing format with your team. The workflow runs live with a daily briefing, missed-opportunity alerts, and a weekly review. We tune as we go.
If the agreed KPIs have not moved measurably above baseline by day 90 of Stage 2, no continuation fee.
Scale
Most groups roll the first workflow across more rooftops, then add a second workflow on the same foundation. Each new workflow costs less because the systems and integrations are already in place.
Three honest options.
You are not asking whether AI changes how dealerships work. You are asking who builds it with you. Let us answer that directly.
Build it with engineers
Honest math on what it would take to do this entirely in-house from a green-field hiring stack.
- · The team: 9 to 18 months in the talent market
- · AI architecture: 9 to 12 months once the team is in place
- · Specialized agents: 6 to 9 months per workflow tier
- · Compliance: 18 to 24 months for SOC 2 Type II, ISO 27001, ISO 42001
- · First workflow live: Year 2 to 3
Likelihood: low. Outcome: full architecture in years.
Build it with a C-suite team
Adding executive judgment to Option 1. The work is the same. The calendar starts after a year of executive hiring.
- · Four executives: 6 to 18 months exec search
- · Working chemistry: 3 to 6 months
- · AI architecture and agents: 12 to 18 months
- · Compliance: 18 to 24 months
- · First workflow live: Year 2 to 3
Likelihood: low to medium. Outcome: full architecture in years.
Partner with us
Most of the work is already done. The remainder happens inside your pilot window, not after it.
- · The team: ready Day 1. Four founders, 95-plus years combined.
- · AI architecture: ready Day 1. 100-plus agents in production, LLM-agnostic.
- · Data and integrations: Stage 1, Days 1 to 30.
- · Agents configured for your rooftop: Stage 2, Days 31 to 120.
- · Compliance: SOC 2 Type II observation in flight; ISO 27001 and ISO 42001 in 2026.
- · First workflow live: Stage 2, Days 31 to 120.
- · Full group-wide architecture: 18 to 24 months.
Likelihood: high. Outcome: Stage 1 in 30 days, Stage 2 in 90 days, full group architecture in 18 to 24 months.
Full group-wide AI infrastructure with us: 18 to 24 months. Without us, on either option above: years.
Why us.
Four things you cannot replicate.
Not in six months. Not by hiring. The foundation work is already done, and the people who did it are on this engagement.
95-plus years of combined experience
Bill on operations. Mike on architecture. Karla on AI governance. Barry on strategy. Working chemistry built across nuclear, finance, healthcare, travel, and non-profit environments where audit, security, and compliance are not negotiable.
100-plus specialized agents in production
Seven categories: analytics, operations, sales, service, content, training, finance. Each Sales Workflow is powered by three to five of them, configured for your rooftop. LLM-agnostic. Anthropic, Google, or OpenAI as the work demands.
AI and ML, all four founders
Vector Institute FastLane, Geoffrey Hinton's AI accelerator. AI Fellowship and AI Safety Foundation. The team that built the industry's first OEM-adopted ML lead-scoring platform. Co-founder of the enterprise AI architecture this is built on. Top-tier.
Your data stays where it belongs
Each store's data stays inside that store. Group views come through how leadership sees the patterns, not by pooling raw records. Operator instinct (my store's data is my store's data) and operational reality (I need a group view), without forcing a tradeoff.
"Today, what you're buying is a tool that delivers a specific outcome. Tomorrow, if it works, what you will have bought is the foundation of an intelligence architecture that your competitors cannot match by purchasing the same tool from us or anyone else."
Why this team
Auto Agentic is run by four co-founders with more than ninety-five years of combined experience between them. One has spent his career inside the dealership. One has spent his career building secure systems for the institutions that handle millions of customers' money. One has spent her career at the front edge of enterprise AI. One has spent his career at the intersection of brand, technology, and entrepreneurship, building eight companies along the way. Co-founded in Toronto and Detroit. Where AI was born. Where cars were born.
All four work on every engagement. Not assigned by tier, not sequenced behind account managers. The buyer who signs with Auto Agentic gets the four people on this page directly, every week, for the duration.
Barry Hillier
Digital and AI pioneer. Brand strategist. Eight-time co-founder.
Barry has spent more than twenty-five years working at the intersection of brand, technology, and entrepreneurship. He has co-founded eight companies, including GloveboxCMS, Bumper, and RevUps, three SaaS platforms built specifically for automotive dealer networks. Earlier in his career he led award-winning brand work at Saatchi & Saatchi, BBDO, and Operex, including the Hellmann's Real Food Movement that won Cassies Grand Prix (Canada's highest marketing-effectiveness award) and the AXE Body Spray campaign that took Yahoo's Idea of the Festival in Venice. His work has earned more than fifty international awards across packaged goods, financial services, technology, and automotive.
At Auto Agentic, Barry sets the strategic direction and is the executive line for every customer relationship. He is the Director of the Toronto chapter of the AI Fellowship, is a member of the Artificial Intelligence Safety Foundation, and is the founder voice of the Auto Intelligence Podcast where he explores how the industry will operate in the AI era. On a customer engagement, he runs the Day-90 executive review with the inbound contact personally and is the call you make when something needs an executive answer.
Bill Playford
Automotive retail innovator. Data intelligence expert. Fourth-generation auto worker.
Bill is a fourth-generation auto worker whose twenty-year career has been spent inside the dealership rather than around it. He has worked directly with more than 1,200 dealerships across 35 states and provinces, helping operators navigate the operational realities of modern retail. He pioneered the lead scoring and digital retailing methodologies that became standard practice across the industry, and was recruited by Trilogy onto the global team of machine-learning and neural-net engineers that built SmartLeads, the industry's first OEM-adopted ML lead-scoring platform. By the time the program transitioned to Hyundai North America's internal team, SmartLeads had scored over nine million leads.
At Auto Agentic, Bill is the operator's operator. On a customer engagement, he runs the weekly check-in with the rooftop GM and validates anything in the workflow that touches the floor, the BDC, or the service drive. He has been a VP and partner at DealerKnows Consulting since 2011, sat on Kelley Blue Book's inaugural dealership council, helped Google form the automotive advertising council, and built the TaskTeacher accountability platform, which has analyzed roughly six million data points on dealership team performance.
Karla Congson
AI expert. Serial entrepreneur. CEO of Agentiiv.
Karla has spent twenty-five years at the front edge of digital transformation, AI systems design, and enterprise strategy. She is the CEO and CTO of Agentiiv, where her team has built more than one hundred specialized AI agents currently running in production for enterprise clients, saving an average of five hours per employee per week. Agentiiv was selected for the Vector Institute FastLane Program, Geoffrey Hinton's AI accelerator and one of the most prestigious in Canada. Karla is a 2025 Finalist in the Women in AI Awards North America (Startup Entrepreneur) and was nominated for CEO Magazine's Top 50 Women Over 50 Global list the same year.
At Auto Agentic, Karla leads AI governance. Human-in-the-loop is her design principle, not a feature. On a customer engagement, she reviews any agent output flagged for accuracy or oversight concerns, and she is the founder responsible for making sure the AI deployment never becomes a liability event. She brought Singularity University to Canada through its first national conference in 2017 and regularly leads masterclasses for the Canadian Marketing Association on AI in business.
Mike Carrick
UX design architect. AI technologist. Enterprise systems builder.
Mike has spent more than twenty years architecting the kind of systems that financial institutions trust with millions of customer accounts. He has built secure, scalable digital platforms for Fortune 500 companies, banks, and asset managers, holding senior roles as Chief Experience Officer at XDS and Head of User Experience at RBC Wealth Management, RBC Global Asset Management, and PH&N Investment Services. In each of those positions he set new standards for combining enterprise-grade security with user experience that does not get in the way of the work.
At Auto Agentic, Mike is the architecture custodian. He is the co-founder of Agentiiv, the enterprise AI architecture Auto Agentic is built on, and he leads the technical team building the platform. On a customer engagement, he owns the data layer. He configures the connections to the systems your operation already runs (DriveCentric, Mia, CarWars, Dealertrack and the rest of the stack) and designs the normalization that gives the rooftop a single operational view across departments. When your IT or security team raises a question, Mike is the founder who answers it.
Working chemistry, proven across regulated industries.
This team has built and shipped together across nuclear infrastructure (Bruce Power), federally regulated finance (Alterna Savings), regulated healthcare (Canadian Medical Association, Medivh, Arthritis Society), travel operations (Sunwing), national non-profits (United Way), retail and logistics (Book Depot), and industry associations (Canadian Marketing Association). The chemistry is not theoretical; it is what gets brought to bear on your engagement from the first day.
Auto Agentic is headquartered in Toronto, the birthplace of modern AI, and co-founded near Detroit, the birthplace of automotive. Geoffrey Hinton, Yoshua Bengio, and the deep-learning foundations that power today's systems all emerged from the Canadian research ecosystem. That intellectual lineage is built into how we think about architecture.
Next step.
Pick the path that fits where you are.
You know the operational problem, you know the rooftop, and you want to scope a 90-day pilot.
Book a PilotYou want a 20-minute discovery call to map your operation and figure out whether a workflow fits.
Book a Discovery CallSave this URL. Share it with your team. The page stays live as a reference during the pilot scoping process.
Quick definitions
Workflow: a daily tool your team uses. Built on top of your Knowledge Hub and run by a small group of agents.
Knowledge Hub: where your connected systems feed into one working view of your operation. The agents read from it. Leadership sees the group through it.
Intelligence Foundation: the shared set of connected systems, data, and agents that every workflow you run draws from. Built one workflow at a time.
Two-stage pilot: Stage 1 is thirty days, where we connect your systems and surface what your data already says. Stage 2 is ninety days, where we run the workflow and measure the KPIs. Either side can stop without obligation between stages.
Founding Partner: the first five dealer groups we sign before Q3 2026. Reduced setup in exchange for a public case study if the pilot moves the KPIs.