Regulatory Reporting · Why Wekalp

Regulatory reporting that starts where you already are

Wekalp reads the logic your teams already run, builds it on a leaner technology stack, and puts change in the hands of the business. Three differences, and why they matter.

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01 · Implementation approach

An approach that reads your existing logic instead of reinventing it

Traditional implementations begin with months of workshops to re-specify logic your analysts already run. Our document processing extracts it directly from your reporting spreadsheets, operational query documents, SOPs and templates, and turns it into working regulatory requirements.

Gather what already exists

Reporting spreadsheets, query documents, SOPs and templates. No re-specification of logic.

Minimal workshops

Days of your users' time, not months of requirement cycles.

Digitise the context

Process discovery reads your documents and traces lineage back to source.

Auto-codify the logic

Transformations, rules and templates generated, then configured and scheduled.

Test and go live

Unit, user and parallel-run testing, then go-live in your own environment.

Document intelligence at scale

Process discovery cataloguing the entities in an uploaded balance sheet workbook, with a callout explaining that Wekalp identifies and documents all worksheets and workbooks — Screens from the Wekalp platform film

Process discovery learning the template of an uploaded balance sheet return, showing its line items and amounts, ready to be coded with validations and assertions — Screens from the Wekalp platform film

What it changesTime to go live, on the same scope · illustrative

Traditional vendor

4–5 months of data mapping Report-level implementation

Wekalp

Report work from day one Go-live

03691215months from kick-off

Same scope, same rigour. The difference is where we start: from the logic your analysts already run, not from a blank data model. The same capability lets us digitise new templates and guidelines as soon as they are issued.

02 · Technology stack

A leaner stack that brings the total cost of ownership down

A traditional reporting stack stitches together as many as nine separate tools, each with its own licence, infrastructure and team. Wekalp brings them into one platform, built on an open Delta Lake foundation.

A traditional stack of nine separate tools (database, ETL, business rules engine, data quality, reconciliation, reporting and visualisation, orchestration, security, and master data management with data catalogues) compared with Wekalp's single platform, where each layer replaces one or more of those tools

Delta Lake foundation

Proprietary databases sized for aggregate returns

Open-format, versioned storage for granular data, with every load kept

Compute kept separate

Compute tied to the database, so cost climbs with volume

Compute scales independently of storage, and only when it is needed

Context layer

Rules in stored procedures, lineage and catalogue in separate tools

Rules, definitions, lineage and metadata held together in one layer

Security built in

Separate vaults for PII and encryption tools bolted onto databases

Column-level access and PII protection inside the platform

03 · Change management

Change owned by the business, not the vendor

Regulations change every year. With traditional platforms, even a template change means a vendor ticket and a release cycle. With Wekalp, your team makes the change, tests it and publishes it.

A new circular: the traditional path goes through a vendor ticket, queue and release over quarters; with Wekalp the rule is edited, sandbox-tested and published in days

A new circular arrives

From vendor tickets to self-service

Template changes need vendor ticketsNew templates digitised and validated by your team

Mapping logic controlled by the vendorMappings and masters self-configured in a metadata layer

Hard-coded rules need developersNo-code rules, edited like a spreadsheet formula

An NPA classification rule edited like a spreadsheet formula in a sandbox, showing affected loans, tested on 1.2 million records with a Promote to production button

Safe by default

Test it, see the impact, then promote

SandboxTry new rules, templates and mappings on real data without touching production.
Impact analysisSee which returns, tables and records a change affects before it goes live.
Controlled promotionMaker-checker approval and a full audit trail for every change.

Granular readiness · 2-minute self-checkHow ready is your foundation for granular reporting?

See how we would start from your own returns.

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