
Setu
setu - bridge, a crossing built to be used
Legacy BI to modern analytics: migration, parity, and AI-ready insight.
Setu is the legacy-to-modern BI accelerator: move enterprises off aging dashboard estates onto modern analytics environments, validate parity, recover license spend, and activate AI/BI use cases such as Microsoft Fabric data agents and Databricks Genie. Tableau and peer suites are source estates within that narrative, not Setu's identity.
Workflow
Problem
Enterprises are stuck on legacy BI estates that burn license spend and block the move to modern platforms and AI-native analytics.
Outcome
A clear path from legacy to modern BI: automated migration with parity, license recovery, and activation of AI/BI agents on the target platform.
01
Inventory the legacy estate
Dashboards, data sources, and real usage are catalogued so the program is scoped on evidence.
02
Auto-migrate
The engine converts 80–90% of dashboards to the target modern BI platform automatically.
03
Validate parity
Migrated output is compared against the source until it matches.
04
Activate AI/BI
Data agents and conversational analytics on Fabric, Genie, and peers unlock the next layer of insight.
Modules
Legacy Estate Intake
Inventory dashboards, data sources, and real usage across the legacy suite.
Auto-Migration Engine
80–90% of dashboards converted automatically.
Parity Validation
Verify migrated output matches the source.
AI/BI Activation
Stand up data agents on Fabric, Databricks Genie, and peer platforms.
Representative use cases
Retiring a Global Tableau Estate Ahead of a License Renewal
A multinational industrial group runs more than 1,200 Tableau dashboards across eleven business units, with an enterprise license renewal due in two quarters.
Consolidating Four Analytics Platforms After an Acquisition
A financial services group completing three acquisitions in two years inherited four separate BI platforms, each with its own semantic layer and refresh schedule.
Unlocking Conversational Analytics on a Modernized Estate
A retail group finished a warehouse modernization but left its reporting layer untouched, so business users still wait on analysts despite the new platform underneath.
Proving Parity on Regulated Financial Reporting Before Cutover
A bank migrating its risk and finance reporting cannot cut over until an internal audit function accepts that migrated figures are identical to the source.
Recovering License Spend from a Dormant Dashboard Estate
A manufacturing group pays per-seat and per-server BI licensing against an estate that has grown for nine years without anyone retiring anything.
Evidence
What Wayam can show for this entry
Curated solution design with an owner and a review date. No performance or production claim.
Allowed claims at this tier: Possible workflow, typical stack, prerequisites.
- Evidence tier
- T4 · Reference pattern
- Integration status
- Typical enterprise system
- Metric status
- Scenario only
- Evidence owner
- Not yet attached
- Validated
- Not yet attached
- Valid until
- —
- Content version
- 2026.09
Pending evidence attachment
This entry represents an enterprise architectural reference pattern. Customer benchmarks, run replays, and metric verifications are established during technical discovery.
Limitations
- Headline metrics are representative until a customer result is attached.
Representative metrics · Reference · scenario only
1,200+
dashboards migrated
6 weeks
to completion
$4.2M
license savings
These describe the intended outcome of the design. They are not measured customer results until a validated case is attached above.
Architecture & controls
Composed across the operating loop
Ingest
Connect the systems of record and read the signals the work already produces.
Covered by the platform
Reason
Ground context, score options against policy and the stated goal, draft the next step.
4 agent roles
Act
Execute an approved step in the system of record and keep the evidence.
3 agent roles
Govern
Set policy, gate consequential actions on a named approver, and audit what ran.
3 agent roles
Pack Architecture & Agent Composition Graph
10 Composed Agents- AGT-0100
Close Acceleration Agent
Finance
- AGT-0101
AP Invoice Processing Agent
Finance
- AGT-0102
AR Collections Agent
Finance
- AGT-0278
Natural Language to SQL Agent
Data and Analytics
- AGT-0279
Data Catalog Curation Agent
Data and Analytics
- AGT-0280
Data Quality Monitoring Agent
Data and Analytics
- AGT-0345
Quality Inspection Reporting Agent
Quality
- AGT-0348
Scrap and Rework Analysis Agent
Quality
Control gates
- A named approver on every consequential write-back
- Evidence and audit trail kept with every run
- Parity validation against the current process
Capability atoms
- system-connectors
- document-intelligence
- parity-validation
- workflow-orchestration
- nl-to-query
Typical enterprise systems
Typical stack for solution design; compatibility is validated during discovery.
- SAP S/4HANA
- Workday
- Oracle NetSuite
- Snowflake
- SAP MCP
- Dun and Bradstreet API
- dbt
- Monte Carlo
Designed for
technology, financial-services, retail-cpg
Business case
Model a Setu scenario with your own baseline
Three scenarios from the numbers you enter. Capacity released is time; it becomes a saving only when roles or costs are actually removed or avoided.
| Scenario | Improvement | Capacity released | Cashable savings | Net annual | Payback |
|---|---|---|---|---|---|
| Conservative | 9% | — | — | — | — |
| Expected | 18% | — | — | — | — |
| Upside | 24% | — | — | — | — |
Enter an annual volume and a baseline cost to see figures.
Illustrative planning scenario, not a guarantee. Results depend on process baseline, adoption, data quality, integration scope, controls, and deployment costs.
Pilot this
From solution design to a bounded pilot
Step 1 · 3–4 weeks
Discovery Sprint
Validate the workflow, data, controls, baseline and business case before anything is built.
Gate: Blueprint and pilot plan signed by the business owner, technical owner and Wayam.
Step 2 · 6–10 weeks
Bounded Pilot
Prove quality and value on agreed data against agreed acceptance tests.
Gate: Acceptance thresholds met on the evaluation set; go/no-go decision recorded.
Pairs well with