AI agents for your whole team, under your control
Ganesh AI gives every team at Québec SMEs and nonprofits agents that work with its documents and tools. Describe the task, Ganesh AI builds the agent, cites its sources and asks before it acts.
Tenders
Operations team
The bid is $1,240,000 over 18 months. The minimum required availability is 95%. The start date and the responsibility matrix are still to be confirmed.
- 01-offre-atelier-boreal.pdf
- 02-exigences-municipales.pdf
- 03-calendrier.pdf
To: Camille Tremblay · Subject: Open points, water network
Hi Camille, two points remain open before we submit: the start date and the responsibility matrix.
Connected to the tools your team uses
Microsoft 365 to read and write. Google Workspace to read. HubSpot, Notion and any MCP-compatible tool your company allows.
Describe the task, Ganesh AI builds the agent
Someone with no technical background writes what they want. Ganesh AI drafts the instructions, picks the tools and proposes a draft. They try it, adjust it, then publish it for their team.
Eight business templates to start
Accounting, customer requests, leadership review, market watch, orders, HR onboarding, leads, meetings.
Try before you publish
The draft runs on a real task. Every change shows line by line.
Know-how that stays
A method that works becomes a reusable skill, called with « / » or attached to an agent.
Agent draft
- Name
- Weekly review
- Instructions
- Total the week’s sales, compare with last week, flag any gap above 10%.
- Tools
- Trigger
- Every Monday at 8 a.m.
They work on their own. You approve before anything happens.
An agent starts on a schedule, on a new email, a new ticket or a signed call. It prepares everything. Before it writes to a tool, it shows the full card and waits for a person.
- Weekly reviewMonday 8 a.m.
- Customer requestsNew email
- Ticket triageNew ticket
- Competitive watchDaily 7 a.m.
Waiting for your approval
Camille’s onboarding, week of November 3
Monday 9 a.m.: meeting with her manager. Tuesday 10 a.m.: safety training. Thursday 2 p.m.: site visit.
A card for every write
Recipient, subject and full content. You approve or decline. A task can wait up to seven days for your decision.
A lock against booby-trapped text
Once it has read an email or an external document, the agent writes to no third-party tool in that same conversation.
Allow, ask or deny
The company sets each tool. The « Always allow » button exists only if it permits it.
Sourced answers, and an « I didn’t find it » when the information is missing
Every answer lists the documents it used. One click opens the document beside the conversation. When no passage is relevant enough, Ganesh AI says so instead of guessing.
Everyone sees their own scope
The filter applies during the search. An agent never reaches more than the person using it.
Deliverables ready to review
Word, Excel and PDF, with their versions, shared internally to read or to edit.
The minimum required availability is 95% over the term of the contract.
- 02-exigences-municipales.pdf
- p. 1
I didn’t find a confirmed start date in this file’s documents. The bid says it is still to be confirmed.
Where your team already works
Each agent has its own email address. Colleagues can also message it in Teams. Every conversation lands in Ganesh AI.
Three points for 2 p.m.: the quote sent on October 28, the open question on lead times, and the site visit Julie proposed.
Which procedure applies to a refund request?
The March 2026 version applies. Form F-12, 10 business days, owner: the finance department.
watch@your-company.caThis week’s news
Can you add the new competitor to Monday’s watch?
Done. Monday’s summary will include it, with the source of each item.
Your agents, your budget, one view
The cost of each task shows in dollars, never in credits. A daily budget frames each employee. The log says who approved which action.
Today’s budget
$1.84 of $3.00
Cost per agent this week
- Tenders12 tasks$0.96
- Customer requests48 tasks$1.72
- Meetings21 tasks$0.63
Tool log
- Julie Gagnon approved sending an email
- Meetings agent read Marc’s calendar
- Admin set Teams to « ask »
Your data stays under your control
Ganesh AI is designed with personal information protection as a constraint, not an option.
One dedicated server per company
Your Ganesh AI instance runs on its own server, with its own document index.
No retention at model providers
Every call goes through a broker that requires zero data retention. A model that does not meet it is refused.
Each role, its own scope
Personal, team or company: each source has its audience. An agent acts with the person’s rights, never more.
A log of every action
Every tool call and every change of rights is recorded, and exports to CSV.
Clean departures
A leaver’s access, connectors and content are erased. An agent they shared passes to the administrator.
Your choice of model
The company picks among recent models that keep no data. Each agent can have its own.
An agent for every team
Real cases, described with what the agent does today and what it does not do yet.
- Sales
Meeting prep
Before each client meeting, a brief in Teams with the latest emails and documents.
- Marketing
Competitive watch
Every Monday, what’s new at your competitors, compared with your positioning.
- Customer service
Customer request replies
For each customer email, a draft reply based on your own documents.
- Human resources
Employee onboarding
An onboarding plan, then the meetings and tasks created once you approve them.
- Operations
Tender analysis
Every gap between your bid, the bylaw and the specifications, before you submit.
- Leadership
Chief of staff
Every morning, your inbox sorted, your day summed up and your meetings prepared.
A personal assistant, or a team platform?
A desktop AI assistant helps one person. Ganesh AI equips a company: shared agents, connected to its tools, under its rules.
Goal: a first agent in service in 10 business days
The goal is confirmed during scoping, based on tools, access and scope. Your part: one point of contact, the access and a real task.
Pick the task
One precise task, its users and the expected result.
Connect your tools
Your server, your documents and your connectors, with access approved.
Build the agent with you
Instructions, skills and approval rules, tried on your own examples.
Go live
Your team uses it. You follow tasks, costs and quality.
A price set before you start
A fixed fee covers the setup. A subscription then covers each active user. You know both amounts before you commit.
Frequently asked questions
Do we need to know how to code?
No. You describe the task in plain words, and Ganesh AI builds the agent. You try it, then you publish it.
Where does our data go?
To a server dedicated to your company. Model providers neither retain nor collect the data.
Who sees what?
Each role has its scope. An agent never reaches more than the person using it. Document rights are set in Ganesh AI, source by source. They do not yet mirror SharePoint’s.
Can an agent send an email without me?
No, unless the company explicitly allows it for that tool. By default, every write goes through an approval card.
What if the answer is wrong?
The answer lists its sources. You open the source and check. With no relevant source, Ganesh AI abstains. The final check stays human.
Which tools does it work with?
Microsoft 365 to read and write, Google Workspace to read, HubSpot and Notion, and any MCP-compatible tool you allow. Zendesk, Jira, Typeform and others start a trigger.
Which AI model does it use?
You pick among recent models that keep no data. Each agent can have its own.
What happens when an employee leaves?
Their access, connectors and content are erased. An agent they shared passes to the administrator.
Build your team of agents
Bring a real task. In 30 minutes, we build the agent in front of you.