What i-Assistants is
An open enterprise agent platform designed to coordinate specialists, tools, and operational context with control and traceability.
30x cheaper than Copilot
Enterprise agents with Copilot power at a fraction of the cost
Natively integrated with Azure and Microsoft 365. Powered by Gemini and GPT-5.4. Deploy agents in your organization with minimal consumption and maximum capacity.
MCP / MPCA2AAzureMicrosoft 365Gemini / GPT-5.4
Updated: March 27, 2026
Key definitions
Short answers that explain the platform in a citable way
What MCP / MPC is
A standard integration layer that helps connect tools and capabilities so agents can operate with less ambiguity and better reuse.
What A2A is
An agent-to-agent collaboration capability used to delegate, request clarification, and complete multi-team workflows without losing continuity.
Why it matters in enterprise
Because it turns fragmented operations into assisted, traceable, and scalable workflows with less cross-team friction and stronger decision control.
Native integration
Directly connected with Azure and Microsoft 365. No complex configurations.
Latest-gen AI
Powered by Gemini and GPT-5.4. Same power as Copilot and Google Agents.
30x cheaper
Minimal consumption with maximum capacity. A fraction of Copilot cost.
Why not use Copilot or Google Agents?
Enterprise AI solutions cost is prohibitive for most organizations
Copilot costs $30 USD per user/month
For 100 users that is $36,000 USD per year. With i-Assistants you pay a fraction of that.
Google Agents requires dedicated infrastructure
Setup costs, maintenance and specialists. We include everything.
Per-user licensing does not scale
The per-user model penalizes growth. Our model is based on actual consumption.
Same power, different cost model
We use Gemini and GPT-5.4 just like them, but we optimize every token.
Fragmentacion operativa, dependencias y falta de continuidad
How it works
Direct integration with your Microsoft and Google ecosystem
Connected to Azure and M365
Access SharePoint, Teams, Outlook, OneDrive and all your enterprise data without additional configuration.
Gemini + GPT-5.4 under the hood
The same models powering Copilot and Google Agents, optimized for minimal consumption.
Pay for actual usage
No per-user licenses. You only pay for the tokens you consume. Scale without surprises.
Comparison
i-Assistants vs closed copilots
| Criteria | i-Assistants | Closed copilots |
|---|---|---|
| Interoperability | MCP, A2A, and modular growth | Higher lock-in and less flexibility |
| Adoption cost | Phase-based rollout with faster value capture | More rigid and expensive entry point |
| Operational control | Visible traceability, evidence, and governance | Less clarity over decisions and handoffs |
Product entity
An open platform built for real operations, not only prompts
i-Assistants combines agent orchestration, open MCP integration, A2A collaboration, and phased growth so teams can capture value without early over-architecture.
Agents available today
Specialists that solve concrete pains and collaborate under the same orchestration layer
Orchestrator Agent
Problema
Users do not always know which specialist to use or how to coordinate multiple agents.
Valor de negocio
Centralizes coordination, assigns work, and maintains continuous visibility into each request.
Project Manager Agent
Problema
Projects move forward with weak clarity around priorities, dependencies, and risks.
Valor de negocio
Structures plans, milestones, and reports to improve predictability and executive control.
Process Manager Agent
Problema
Processes lose quality because standardization, evidence, and governance are missing.
Valor de negocio
Diagnoses gaps, proposes traceable improvements, and supports decisions with a control mindset.
Support Agent
Problema
Support suffers from premature closure, inconsistent handling, and incomplete traceability.
Valor de negocio
Manages the end-to-end support lifecycle with closure controls, evidence, and SLA focus.
Knowledge Manager Agent
Problema
Corporate knowledge exists, but it is not ready for executive consumption or fast reuse.
Valor de negocio
Turns sources into actionable artifacts and accelerates knowledge transfer.
Marketing Agent
Problema
Marketing takes too long to turn product knowledge into consistent promotional actions.
Valor de negocio
Normalizes messaging and generates plans and channel-ready drafts to accelerate go-to-market work.
Legal Agent
Problema
Legal requests arrive without clear classification, increasing risk and response time.
Valor de negocio
Structures intake and triage, supports contract and privacy flows, and improves legal traceability.
Memory Manager Agent
Problema
The operation loses useful historical context and repeats analysis that already exists.
Valor de negocio
Classifies operational memory and retrieves background for more consistent responses.
Ecosystem Auditor Agent
Problema
Quality degrades when the multi-agent ecosystem is not continuously audited.
Valor de negocio
Checks health, consolidates evidence, and proposes improvements to sustain reliability and governance.
Why choose i-Assistants
Copilot and Google Agents power without the enterprise price tag
Native integration with Azure, M365, SharePoint, Teams and Outlook.
Powered by Gemini and GPT-5.4, the most advanced models in the market.
30x cheaper than Microsoft Copilot with the same capacity.
Pay-per-consumption model, not per user. Scale without limits.
Deploy agents in days, not months. No complex projects.
Editorial resources
Bilingual content to explain MCP, A2A, and enterprise agent platforms
Recommended adoption model
A gradual path to capture value quickly and strengthen governance
Phase 1
Immediate impact
Start with the Orchestrator and 2 to 3 priority agents based on the main business pain point.
Phase 2
Functional expansion
Add support, process, and knowledge agents to consolidate operations.
Phase 3
Maturity and governance
Integrate ecosystem auditing and operational memory as stable quality practices.
Suggested success indicators
Metrics to measure adoption, control, and operational performance
First response time
By request type and by agent involved.
Mean resolution time
By flow, criticality, and participating team.
SLA compliance
Against operational commitments and response times.
Reopen or rework rate
As a signal of closure quality and operational consistency.
Productivity by team and by agent
To understand capacity and work distribution.
Knowledge reuse
How much synthesized context gets reused in new cases.
Operational cost per case
As a reference for sustainable scaling.
Start in days, not months
Copilot power within your budget
We connect your Azure and M365 data with agents powered by Gemini and GPT-5.4. Same power, 30x less cost.
No complex projects
Direct integration with your Microsoft ecosystem. Deploy your first agent in days.
Pay for real consumption
Forget per-user licenses. Pay only for the tokens you use.