This is PRISM
PRISM is AIMAI’s governed AI platform, built for consultants, service providers, and SMEs that want to use AI properly inside real workflows.
AI only matters when it improves how work gets done
Built around workflows, not tools
PRISM is designed for repeatable business workflows, not one-off prompting. It gives teams a governed environment where AI can work with approved knowledge, business rules, and the right operational context at the point of delivery. Instead of relying on private chats, copied prompts, and inconsistent judgement, teams can run important work in a more structured way, with less manual effort, more consistent outputs, and a system that improves through real usage over time.
Repeatable workflows
Apply AI where delivery actually happens
Approved context
Use the right knowledge, rules, and policies every time
Continuous improvement
Improve outputs through real usage and iteration
Governance is built in
PRISM is structured so knowledge, approvals, access, and usage are managed inside the platform from the start. Teams can work from approved knowledge, keep the right people in control of what gets published, and maintain a clear record of how intelligence is being used. The result is safer adoption, more consistent outputs, and a platform that can scale across real operations without losing oversight.

Approved
knowledge
Use trusted context across the platform
Controlled
publishing
Experts stay in control of what goes live
Traceable
usage
Keep a clear record of how intelligence is used
Structured
access
Give the right people the right level of access
How PRISM works
PRISM brings together approved knowledge, shared workspaces, client context, governance, and custom assistants in one controlled platform.
Teams can use Threads for day-to-day work, apply client-level knowledge where account context matters, and move into custom assistants where a workflow needs fixed steps, integrations, or automation. Because it all runs inside the same governed environment, knowledge stays aligned, work is traceable, and outputs improve over time instead of fragmenting across separate tools
Knowledge base
Threads workspaces
Governance and access
Custom assistants
Integrations
Learning through usage
Inside PRISM
PRISM is more than a chat interface. It brings together approved knowledge, shared workspaces, client-specific context, governance controls, and connected operational features in one governed platform.
That means teams can work from trusted knowledge, keep delivery aligned, separate client contexts properly, track how intelligence is being used, and scale adoption without losing control. It creates the operational environment that makes AI usable in real business delivery, not just experimentation.

Knowledge Base
A single source of truth
The PRISM Knowledge Base stores approved business knowledge inside the platform, so assistants and Threads work from the same trusted context instead of whatever an individual user happens to paste into a chat. It can be expanded and enriched over time, which means knowledge compounds as the business learns and uses the system more.
Approvals
Keeps experts in control
Approvals make sure PRISM is not relying on the wrong, outdated, or inconsistent knowledge. Anyone can contribute, but only approved roles can publish, so the people who know the business best stay in control without becoming the bottleneck.


Threads
Shared workspaces that keep teams aligned
Threads move work out of private chats and scattered tools into a shared PRISM workspace. That keeps work visible, repeatable, and grounded in approved knowledge, which reduces drift, rework, and the risk of individuals developing their own unaligned way of working.
Client-level knowledge
The right context for every account
Approvals make sure PRISM is not relying on the wrong, outdated, or inconsistent knowledge. Anyone can contribute, but only approved roles can publish, so the people who know the business best stay in control without becoming the bottleneck.


Client-specific Threads
Clean separation across accounts
Client-specific Threads keep work, history, and decisions separated properly between clients. That reduces cross-contamination risk, keeps account delivery cleaner, and creates a more reliable record of what has been done and agreed for each client.
Audit
A traceable environment to learn from
Audit gives the business a clear record of how intelligence is being used, including what was asked, what was produced, the context it was produced in, and what knowledge was relied on at the time. That supports oversight, reduces exposure in disputes, and gives teams more confidence to scale usage.


Custom assistants
Repeatable delivery at scale
Custom assistants are used when a workflow needs more than open-ended chat. They are built for specific business processes, with consistent steps, rules, outputs, and optional automation, so delivery becomes more repeatable, less manual, and more reliable at scale.
Integrations
Connect PRISM to where work already happens
Integrations allow PRISM to connect to the systems and data sources the business already uses. That means assistants can pull the right information when needed and push outputs back into operational systems, removing copy-and-paste work and making AI part of delivery rather than a separate step.


Admin management
Control access as PRISM scales
Admin management gives the business control over users, groups, permissions, and access levels across the platform. It helps ensure the right people can access the right assistants, knowledge, and client environments, which is essential as usage grows.
Partner access
Collaborate securely in the right workspace
Partner access allows external parties such as clients or collaborators to be invited into the right PRISM environment with controlled permissions. That creates cleaner collaboration, safer sharing, and a clearer record of work and decisions than scattered email or chat.


Support Centre
Issues and improvements stay inside the system
In-built support keeps requests, issues, and improvement ideas inside PRISM and tied to the right thread, assistant, or context. That means support is easier to track, ownership is clearer, and recurring issues can be reduced over time.
One governed platform for knowledge, work, control, delivery, and continuous improvement
Custom Assistants
For consultants, service providers, and SMEs, PRISM becomes most useful when it is applied to real workflows, not treated as a generic AI tool. Custom assistants sit inside the same governed environment as your knowledge, Threads, client context, and controls, so the work is structured, connected, and repeatable. This is where PRISM moves from platform capability into real operational delivery.
Magic studio
Machine Support
Lead Enrichment
From insight to implementation
PRISM is not positioned as a tool to switch on and hope for the best. It is introduced through a clear pathway that identifies where AI will create operational value first, then deploys the right governed environment to support it properly. That gives consultants, service providers, and SMEs a practical route into AI adoption, grounded in workflows, governance, and measurable outcomes rather than experimentation alone.

Find the right starting point
The Insight Programme is designed to identify the highest-value workflows for AI before anything is built or deployed.
Rather than choosing use cases based on interest or novelty, AIMAI reviews the current workflow landscape, maps effort, knowledge, and risk, and prioritises the opportunities most likely to create measurable impact. The output is a clear roadmap covering where PRISM should be applied first, what governance actions are needed, and how success will be measured, so the business starts in the right place and avoids fragmented AI adoption.

Put governed AI into real operations
Once the priorities are clear, PRISM is deployed as the operating layer that allows AI to be used safely in day-to-day work.
PRISM setup includes dedicated infrastructure, governance and policy configuration, support to structure business data, and training so teams can use the platform properly from the start. From there, work can move into Threads, approved knowledge can be applied consistently, and assistants can be introduced into real workflows inside one controlled environment built for practical adoption, not isolated testing.
Simple commercial model
For consultants, service providers, and SMEs, PRISM becomes most useful when it is applied to real workflows, not treated as a generic AI tool. Custom assistants sit inside the same governed environment as your knowledge, Threads, client context, and controls, so the work is structured, connected, and repeatable. This is where PRISM moves from platform capability into real operational delivery.
Insight Programme
The Insight Programme helps identify where AI will create the most operational value before rollout begins.
- Workflow review
- Opportunity mapping
- Prioritised roadmap
- Governance actions
- 4 week delivery
PRISM Platform
Dedicated infrastructure, support to structure data, governance and policy setup, training, Threads access, unlimited users, and unlimited usage.
- Dedicated infrastructure
- Unlimited users
- Unlimited usage
- Client workspaces
- Admin controls
- Audit trail
Custom Assistants
Custom assistants are built for repeatable operational tasks where steps, rules, and outputs need to stay consistent.
- Workflow specific
- Consistent outputs
- System-integrated
- Automated where needed
- Zero build fee
All prices exclude and are subject to VAT. We also offer a partnership model for service providers who want to package PRISM into a recurring client offer.

