Agent workspace platform

BILifeCycle

Analyze, rationalize, develop, migrate, manage, validate, publish, and automate Business Intelligence assets from one agent workspace platform.

6Operating modes9Platform offers9Migration paths

Independent axplusb.tech brand

The lifecycle layer for BI modernization programs.

BILifeCycle is focused on BI transformation and operations: analysis, rationalization, workspace-based development, migration, management, publishing, and automation. The sibling-brand footer keeps it connected to the axplusb.tech portfolio without folding it under Bahulam.

Lifecycle

One product flow across the full BI modernization cycle.

The shipping app is organized around practical operating modes: analyze the estate, rationalize the portfolio, develop in workspaces, migrate between platforms, manage published BI, and automate repeatable operations.

01

Analyze

Inventory and readiness

Upload or connect BI assets and assess structure, dependencies, complexity, and migration readiness across the estate.

02

Rationalize

Portfolio decisions

Find duplicate reports, score assets, compare clusters, and decide what should be kept, merged, archived, or reviewed.

03

Develop

Agent workspaces

Create and modify semantic models, LookML, Tableau workbooks, calculations, joins, parameters, worksheets, and dashboards in governed workspaces.

04

Migrate

Conversion execution

Run licensed source-to-target paths such as Tableau, Cognos, MicroStrategy, Looker, SAP BO, and Salesforce to Power BI.

05

Manage

Round-trip operations

Maintain published BI assets with workspace state, validation results, change history, BI server connections, and publication metadata.

06

Automate

Repeatable operations

Create workflow templates and scheduled jobs for validation, publishing, monitoring, and repeat migration tasks.

Agent workspaces

Develop and manage BI assets, not only migrate them.

The workspace architecture supports migrated and from-scratch work. Each platform workspace carries its own tools, domain services, document state, validation, and publish path.

Workspace plugin model

Each BI platform is organized around local config, domain services, workspace tools, and optional routes so teams can add and operate targets without broad runtime rewiring.

Scoped agent surface

The active agent sees the allowed tools for the selected workspace plus shared integrations, keeping Power BI, Looker, and Tableau actions separated.

Platform-native document state

Workspace changes persist as platform-native assets: semantic models, LookML objects, Tableau data sources, joins, calculations, parameters, worksheets, and dashboards.

Consistent action paths

Frontend saves and chat-driven agent updates can call the same backend implementation, so validation, errors, and audit history stay consistent.

Publish and connection management

Workspaces can resolve BI server connections, validate changes before publish, and retain deployment metadata for ongoing operations.

From-scratch or migrated work

Teams can create a new workbook or model from data connections, continue a migrated asset, or maintain a published workbook in the same governed surface.

Power BI

  • Semantic models
  • DAX and M-query
  • PBIP and publish flows

Looker

  • LookML measures
  • Dimensions and explores
  • Shared save handlers

Tableau

  • Data sources and joins
  • Calculated fields and parameters
  • Worksheets, dashboards, and publish

Platform

Use actual workspace capabilities as the marketing promise.

The product already exposes analyzers, rationalization jobs, migration path pickers, agent development workspaces, validation tooling, BI server connections, publish workflows, and automation workspaces. This site describes those surfaces directly and avoids broader claims.

Analyze workbooks, reports, models, packages, universes, LookML, and semantic assets
Score complexity and migration readiness before teams commit to a path
Find duplicates and consolidation candidates across the BI estate
Build and maintain BI assets in Power BI, Looker, and Tableau workspaces
Use scoped agent tools to edit models, measures, dimensions, calculations, joins, parameters, worksheets, and dashboards
Run source-to-target migrations with configurable data model and database options
Validate and fix DAX, M-query, LookML, Tableau calculations, relationships, and model health
Track jobs, workspaces, status, versions, changes, and audit-friendly activity

BI Estate Analyzer

Platform analyzers cover Tableau, Cognos, MicroStrategy, Looker, SAP BusinessObjects, and Power BI readiness views.

Matches the product's analyzer routes and license-gated platform model.

Rationalization Engine

The product surfaces estate summaries, platform breakdowns, duplicate clusters, scoring, strategy templates, and run history.

Grounded in the rationalization workspace and job flow.

Agent Development Workspaces

Power BI, Looker, and Tableau workspaces let teams create, inspect, maintain, validate, and publish BI assets with agent support.

Grounded in the workspace-plugin architecture from the active product PRDs.

Migration Factory

Source-to-target paths remain first-class, with workspaces carrying converted models and workbooks into review, repair, validation, and publish.

Keeps migration as a product lane without making it the whole product.

Managed Operations Layer

Shared handlers, workspace-scoped tools, job history, server connections, and publish workflows support ongoing BI management.

Aligned with PRD-26 shared-handler and scoped-tool patterns.

Migration paths

Migration is a product lane, not the whole platform.

Paths are license-gated in the application, so the site names them as available product directions. Converted assets continue into workspaces for review, repair, validation, publishing, and management.

Tableau to Power BICognos to Power BIMicroStrategy to Power BILooker to Power BISAP BO to Power BIPower BI to TableauTableau to OmniTableau to LookerSalesforce to Power BI

Teams

Built for teams that build, migrate, and operate BI assets.

The page language now follows the product team actually shipping: BI migration teams, analytics engineers, platform owners, and program leaders.

BI Migration Teams

  • Assess source estates
  • Plan migration waves
  • Validate converted assets

Analytics Engineering

  • Develop semantic models
  • Repair DAX, M-query, LookML, and Tableau calculations
  • Manage workspace changes

BI Platform Owners

  • Maintain published workbooks
  • Manage BI server connections
  • Govern publish workflows

Program Leadership

  • Track portfolio readiness
  • Prioritize rationalization
  • Monitor jobs and outcomes

Launch options

Start with one platform, one path, or one program lane.

Keep the first engagement concrete: scan a source estate, pilot a migration path, stand up a workspace development lane, or operate the full lifecycle model.

Estate Scan

Discovery

Start with one source platform and produce an inventory, complexity view, and readiness summary.

  • Platform upload or connection
  • Readiness review
  • Migration scope notes

Migration Pilot

Focused path

Run a controlled source-to-target path with validation and workspace review before scaling.

  • One licensed migration path
  • Workspace validation
  • Issue and fix queue

Workspace Buildout

Development lane

Stand up a governed agent workspace for Power BI, Looker, or Tableau development and maintenance.

  • Workspace configuration
  • Agent tool surface
  • Publish and management flow

Lifecycle Program

Enterprise

Operationalize analysis, rationalization, migration, development workspaces, management, and automation together.

  • Multi-platform roadmap
  • Governed workflows
  • Implementation support

Publish-ready launch

Bring one BI lifecycle problem into focus.

Share the source platform, target workspace, asset volume, and the first operating problem you need to solve. We can scope a focused path without overcommitting the product.

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