01
Connect
Read approved sources through configured integrations.
Bluzee Dimaq™
See beyond the report.
Know what deserves action.
Private AI decision intelligence for business owners and department heads preparing for strategic meetings and internal reviews.
IDEAS WITH PURPOSE. PROGRESS WITH PEOPLE.Scroll to explore↓
Evidence-backed recommendationsRole-based accessPlatform agnostic
PRIVATE AI DECISION INTELLIGENCE
A wider view of the data you are authorised to use.
Every report has a boundary. Dimaq™ broadens the inquiry across connected enterprise data, relating business context and evidence to the actions that deserve your attention.
01
Connect the business picture
Explore relationships across finance, sales, inventory, purchasing, projects and operations.
02
Prepare for a meaningful review
Ask follow-up questions, examine supporting evidence and bring proposed actions to the discussion.
03
Work across platforms
Configured integrations can connect SAP, Odoo, Tally, Salesforce and ServiceNow environments.
04
Keep your administrator in control
Manage users, roles, approved data scope, model access, logging and retention through agreed administration policies.
EXPLORE THE APPROACH
Ask a bigger business question.
Finance / illustrative example
Where might cash collection need attention?
Relate overdue receivables, disputes and customer commitments within your permitted records.
Evidence to examine
Invoice ageing · disputes · promised payment dates
Possible next step
Prioritise an account review and validate the cause with its owner.
Sales / illustrative example
Which customer commitments could be at risk?
Connect open orders with availability, planned supply and promised dates.
Evidence to examine
Order lines · available stock · supply commitments
Possible next step
Review at-risk commitments with sales and operations.
Operations / illustrative example
What keeps the same issue coming back?
Explore recurring exceptions across incidents, process steps and operational context.
Evidence to examine
Exception history · ownership · process dependencies
Possible next step
Bring a recurring pattern to the review and assign an investigation.
Illustrative workflow, not a live product response. Actual behaviour depends on approved sources, integrations, scope and permissions.
PRIVATE AI ADVANTAGE
Useful intelligence.
Defined boundaries.
Dimaq™ supports an Amazon Bedrock-based deployment in your AWS environment.
Customer-controlled deployment
Design the environment around approved business knowledge, data access and operating policies.
AWS-managed model access
Use approved managed language models, with model, region, logging and retention settings agreed for the deployment.
Administrator-led boundaries
Define who can use the system, which data they can access and how integrations and knowledge updates are governed.
Privacy and access controls depend on the agreed deployment configuration and connected services. Validate permissions, data handling and human escalation before rollout.
A PRACTICAL WAY FORWARD
From understanding to action.
02
Understand
Map data structures, business definitions and domain context.
03
Synthesize
Examine relationships across the user’s authorised data.
04
Advise
Present evidence and proposed actions for leadership review.
Scope & fit
Coverage depends on connected sources, data quality and permissions. Integration depends on connectors, APIs, versions and customisations. Dimaq™ is an advisory layer: leaders retain decision and execution authority. Private AI configuration, model, AWS Region, logging and retention settings are agreed during deployment.
Take a closer look.
Explore the Bluzee Dimaq™ brochure.
CONNECTED OFFERINGS
LET’S MAKE IT USEFUL
Let’s turn possibility
into progress.
Tell us where you want to go. We’ll explore the AI, ERP or experience pathway that fits.
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