About Systems Place

AI analytics for business systems, delivered with production-system discipline.

Systems Place is a founder-led managed service for finance, commercial, and operations teams. We help approved users ask useful questions of ERP, CRM, finance, and operational data through compatible AI assistants.

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Explore Managed AI Analytics

Why Systems Place exists

A connector can expose data. A useful service also needs clear definitions, approved access, answer testing, and an operator.

Systems Place brings that work together and recommends the simplest suitable option, including an existing tool, BI, a managed platform, or no project.

Founder and operator

Pranav Chendur brings production data-platform experience to each engagement.

Pranav Chendur

Founder, Systems Place

Pranav has worked on production data and intelligence systems, predictive-maintenance data products, streaming and lakehouse platforms, delivery automation, monitoring, and security-readiness work.

That experience informs the operating method used here. The question, access path, answer checks, failure behaviour, change process, and exit are treated as parts of the product, not work left for the customer after launch.

Clients work directly with the person responsible for the design, delivery, and ongoing quality of the service.

Production data platforms and streaming systems

Monitoring, reliability, and operational ownership

Delivery automation and controlled change

Security-readiness and review discipline

Operating principles

The method keeps the first release small and reviewable.

Question before technology

Define the decision, source, owner, and trusted comparison before choosing a production option.

Read-only before write

Start with purpose-built analytical tools unless the business case explicitly requires a controlled system action.

Check before confidence

Compare representative answers with trusted reports, source results, or known examples.

Operation before expansion

Monitor and maintain the first use case before adding new questions, sources, assistants, or system authority.

Exit before lock-in

Document dependencies, handover, access revocation, and removal as part of the service design.

Delivery ownership

Know who owns each part of the service.

Systems Place is accountable for

The agreed managed service

Question, option, source, and definition review
Implemented tools and access boundaries
Evaluation, acceptance, monitoring, and maintenance
Controlled changes and the agreed exit process

Your team and providers

Business authority and platform controls

Approve business purposes, users, sources, and definitions
Configure source and assistant-provider accounts and policies
Own decisions made using the returned analysis
Operate provider platforms and procurement outside the managed service

Start the working relationship

Bring one question and the report or result used to answer it today.

The assessment compares the available options and recommends the simplest suitable next step.

Plan your first use case →

Read the distributor case study