AI agents that do the work and ask before it leaves.
From a single task automation to multi-step workflows that plan, act and escalate, inside the systems you already run.
In short
Agentic AI is AI that does not just answer a question but carries out a task: it reads the situation, decides the next step, uses tools such as your email, CRM or ERP to act, and checks with a person when a decision carries weight. Quadrivium builds AI agents for business workflows such as post-sales follow-up, purchase approvals, support triage and report preparation, with every action logged and nothing sent, paid or approved without a human tap where you want one.
- Who it is for
- Teams with repetitive, multi-step work that crosses two or more systems
- What you get
- A working agent on one workflow, with logs, limits and a kill switch
- Typical timeline
- First agent live in 3 to 6 weeks
- Built with
- Claude, OpenAI, n8n and your own APIs, by n8n-certified professionals
What this looks like in your company
Hours back every week
The chasing, collating and drafting that fills a working day is done by the agent. People do the deciding.
Plans, acts, escalates
The agent works through the steps, handles the common cases and hands the odd one to a named person with the context attached.
Inside your systems
Email, WhatsApp, your CRM, ERP and ticketing. The agent uses the same tools your team does, with its own login and limits.
Nothing leaves without a tap
Sending, paying, approving and publishing wait for a human where you set the threshold. Every approval is logged.
Every action logged
What the agent read, decided and did, step by step, so a manager or an auditor can replay any case.
Scales without headcount
Twice the enquiries, orders or tickets with the same team. Output grows with demand, not with payroll.
5 steps, each with something to show
Every step ends in something you can see and judge before the next one starts.
- 1
Pick the workflow
One process that is repetitive, rule-heavy and crosses systems. Post-sales follow-up, purchase approvals and support triage are common first picks.
- 2
Map the steps and the gates
Every step written down, with the decision points where a person must approve. This becomes the agent's specification and its limits.
- 3
Build the agent
Built on Claude or OpenAI models with n8n or custom code, connected to your systems through their APIs, with logging from the first run.
- 4
Run it beside a person
For two to four weeks the agent proposes and a person approves. Accuracy is measured, prompts and rules are tuned, edge cases are added.
- 5
Hand it the keys
Gates are relaxed where the record justifies it. A named owner on your side gets the dashboard, the logs and the kill switch.
Partnered with the platforms. Built by people who have shipped before.
20+
Years of industry experience per mentor
500+
Professionals trained
1,000+
Hours of hands-on teaching
I found the session quite insightful, informative and the same was delivered to the point. We could practically do it on our own live with the mentors so that everything gets clear on real time basis.
A wonderful learning experience with Quadrivium. The AI training was practical, well-structured, and delivered by amazing mentors.
Quadrivium's AI for Everyone cohort was incredibly practical, mentors walked us through real prompts, automation workflows, and business scenarios so I could immediately apply what I learned at work.
Agentic AI, answered plainly
Where to go next
Ready to put AI to work in your business?
Tell us what you are trying to solve. You will get a straight answer on whether AI fits, what it would take, and what it would cost — no obligation.
- info@quadrivium.in
- +91 9172122765
- Wakad, Pune, India