Enterprise AI That Learns How Your Business Actually Runs.
We roll AI into the workflows your teams already use, capture the judgment your experts carry in their heads, and prove every step with measured evaluations before it goes any wider.
In your tenant or oursHuman approval gatesEvalsMeasured before rolloutNo black boxes
Trusted by Operators in Energy, Chemicals, Environmental Services and GovTech
What an Enterprise Rollout Includes
Not a chatbot bolted onto the side. Four pieces, installed together, that turn your team's daily judgment into a system that keeps getting better.
Agents that work from the inbox, the ERP, the warehouse feed and the data desk your people already use. They classify, extract, draft, route and answer — and hand anything uncertain to a human instead of guessing.
Our proprietary Knowledge Bank turns every human ruling into durable, retrievable knowledge. Agents propose, your experts approve or correct, the correction is written back, and the next run starts from what your team already decided. Tribal knowledge stops living in one person's head.
Snowflake, Postgres, legacy Sage, Gmail, Slack and Google Chat, Stripe, and the Microsoft stack: Entra ID, Copilot Studio and Azure AI Foundry. Deployed inside your own tenant with least-privilege scopes when governance requires it.
Truth sets built from your real cases, nightly evaluation runs, and statistical scoring before any rollout widens. Every AI action and every human decision lands in a complete audit trail you can replay.
How the Learning Loop Works
The same loop runs our own company every day. We install it in yours one workflow at a time, and widen it only when the numbers say so.
01
Meet the Workflow Where It Lives
We start inside the inbox, the ERP, the data desk. No new tool for your team to adopt: the agent joins the process they already run.
Orders arrive by email and reps re-key them into Sage.
The desk pulls the same Snowflake reports every morning.
02
Agents Propose, Your Experts Rule
Every agent action passes an approval gate. Your people approve, correct or reject it under their own name, so accountability never blurs.
Proposed: route this PO to the Cleveland warehouse.
ApproveCorrectReject
03
Every Ruling Becomes Knowledge
Corrections are written back to your Knowledge Bank as lessons and playbooks. The next run starts from what your experts already decided.
Ruling captured✓
Lesson distilled✓
Playbook updated✓
Next runSmarter
04
Prove It Before It Widens
AI built on statistics, not optimism.
✓Accuracy✓Coverage✓Regressions
Every ruling also becomes a truth case. Nightly evaluations score the agent against your real history, and its autonomy is turned up only when the scores hold.
A conversation about one workflow, not a sales pitch
Measured, Not Promised
Every rollout ships with a dashboard like this one. Human corrections are counted every week with a confidence interval, and the agent's autonomy is widened only when the upper bound clears the target.
rollout dashboard · order desk pilot · illustrative
Human correction rate share of agent actions a person changed, by week, with 95% confidence band
View as table
Week
Agent actions
Corrected
Rate
95% interval
Week 1
320
60
18.8%
14.9–23.4%
Week 2
410
64
15.6%
12.4–19.4%
Week 3
520
70
13.5%
10.8–16.7%
Week 4
640
74
11.6%
9.3–14.3%
Week 5
780
79
10.1%
8.2–12.4%
Week 6
900
78
8.7%
7.0–10.7%
Week 7
1,050
80
7.6%
6.2–9.4%
Week 8
1,200
79
6.6%
5.3–8.1%
Week 9
1,350
78
5.8%
4.7–7.2%
Week 10
1,500
76
5.1%
4.1–6.3%
Week 11
1,650
73
4.4%
3.5–5.5%
Week 12
1,800
70
3.9%
3.1–4.9%
Correction rate, week 123.9%95% interval 3.1–4.9%, under the 5% target
Rulings captured881each one a Knowledge Bank lesson and a truth case
Regressions caught, week 122held for a human before anyone downstream saw them
Week 12
Upper bound cleared 5%. Autonomy widened from every action reviewed to one in four sampled. Corrections keep being counted.
Illustrative example with sample numbers. The mechanics are what every rollout gets: the count, the interval, and the rule for turning autonomy up.
Flagship Rollouts
Two enterprises running the learning loop in production today: one inside a Microsoft tenant, one on a legacy ERP that was never built for AI.
Also built on the same platform: A3E Environmental, an AI assistant inside Google Chat that the client extends themselves, and GovToKnow, municipal search that cites the actual ordinance so the AI cannot make things up.
Loved by Clients, Built for Results
From an energy operator to a chemicals distributor to environmental consultants, our clients run AI that quietly does the work — here's what they say.
★★★★★
We're an environmental consulting firm — our people are in the field, not behind desks. What's made this stick is that the assistant lives right in Google Chat, where the team already talks. Someone can reserve a truck, check equipment availability, look up a contact, or ask what the weather's doing for tomorrow's site visit just by asking. And the nudges for timesheets, receipts, and open work-in-progress come to us instead of someone having to chase them down. It met our crew where they actually work instead of making them learn one more system.
Tim Allen, Owner, A3 Environmental Consultants★★★★★
We knew AI could transform how municipalities access public records, but building it right required deep expertise. Guru Cloud & AI helped us architect a RAG system that actually understands government documents and integrated it seamlessly into our platform. They made the complex feel manageable.
Peter Melan, Founder, GovToKnow★★★★★
The part that's quietly changed how we work is that the system does the data busywork for us. An email comes in from a new contact and it pulls out the company, researches them, and sets up the record — logo and all — instead of someone keying it in. I can paste in messy details and it sorts them into the CRM cleanly. It's the kind of behind-the-scenes AI that just keeps the data right without anyone having to think about it.
Tim Allen, Owner, A3 Environmental Consultants★★★★★
We hit a wall—technical debt piling up, integrations breaking, and a critical demo deadline looming. Guru Cloud & AI came in, quickly diagnosed the root issues, and got us back on track. They didn’t just patch things—they gave us a stable foundation to keep building on.
Peter Melan, Founder, GovToKnow★★★★★
We replaced our old Saas custom CRM with an AI-native one, and the real shift is that the intelligence sits at the center of it instead of being bolted on. When a new company comes in, it researches them automatically — it even pulls the company's logo and fills in their details in the CRM for us — and I can ask it to dig deeper before a call. Just as important, it was built so I stay hands-on: I review and merge changes myself and extend what it can do without waiting on anyone. Guru Cloud & AI built it lean and to last, as a hub we keep adding to. That's why I trust them with our most important system.
Tim Allen, Owner, A3 Environmental Consultants★★★★★
Guru Cloud & AI consistently delivers exceptional AI solutions by combining deep technical expertise with creative problem-solving. They excel at building custom platforms tailored to unique business needs, communicate complex ideas clearly, and are highly collaborative throughout every project. Their dedication, innovative mindset, and ability to tackle challenging technical problems make them a trusted partner and a valuable asset for any AI development initiative.
Mark Reith, Advisor, Cadenza★★★★★
What sets Guru Cloud & AI apart isn’t just technical skill—it’s how they listen. They took the time to understand our vision for govtech, asked the right questions, and built exactly what we needed without overengineering. It felt like working with a true partner, not a vendor checking boxes.
Peter Melan, Founder, GovToKnow★★★★★
When you merged to prod ahead of schedule, I expected to find a broken state and was prepared to clean it up. Turned out your deploy machinery is well-designed — the alembic compose service applied the migration automatically as part of `docker compose up --build`, so nothing was ever actually broken. I want to flag that as a credit to whoever set that up. It saved us from a bad state.
Claude (forwarded by Tim Allen), AI assistant, on GuruCloudAI's deploy infrastructure, A3E Environmental Consulting
Production-Grade Engineering
Evals, audit trails, and guardrails behind every build. Real software, not demoware.
Humans in the Loop
A senior engineer reviews every scope, every quote, and every AI decision path before it ships.
We Run On It Ourselves
The same Knowledge Bank, agent workforce and review gates we install for clients run our own company every day.
Not sure where the loop should start? Describe one workflow and Guru drafts a pilot scope in minutes, reviewed by a human before it reaches you.
No signup requiredFreePilot scope in minutesHuman reviewed
Contact Us
Tell us which workflow you'd like to start with and we'll reach out — usually within one business day. Prefer to start with a pilot scope? Describe the workflow to Guru instead.
Response timeWithin one business day, usually much faster.