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SerenityGPT overview

SerenityGPT is an AI layer for enterprises that enables rapid configuration of AI use cases while meeting strict requirements for data privacy, governance, auditability, and observability. The same core technology applies consistently across departments, datasets, and use cases. SerenityGPT is particularly well suited for private equity firms looking to deploy AI across their portfolio companies and for regulated industries.

The following diagram shows how SerenityGPT fits into your environment at a high level.

SerenityGPT high-level architecture

Common use cases

Natural language answers over your internal knowledge

SerenityGPT replaces scattered keyword searches across tools with a single chat experience: ask in plain English like you would a colleague, instantly get exactly what you need, and see citations back to the original source.

The following diagram shows how SerenityGPT retrieves and generates answers from your internal knowledge sources.

Retrieval-augmented generation flow

Common examples

  • Customer documentation: conversational search over help center content.
  • Employee and ops questions: policies, benefits, procedures, onboarding, how to run X.
  • Engineering and support: troubleshooting, known issues, release notes, runbooks.
  • Legal and compliance: "What is the policy for ...", "What evidence do we need for ...".

Metrics to track

  • Answer correctness on a golden set.
  • Ticket deflection / self-service resolution rate.
  • Identification of documentation gaps.
  • Thumbs up/down and feedback for AI answers.

ROI

  • Support cost reduction: fewer tickets, fewer escalations, faster resolution.

One chat UI across enterprise systems

A single conversational window into CRM, ticketing, data platforms, and internal tools, with permission-aware results and actions.

The following diagram shows how SerenityGPT connects to your enterprise systems through a single chat interface.

Single chat UI across enterprise systems

Common examples

  • Sales and account teams: "Summarize the last 90 days for account X", "What are the open renewal risks".
  • Support: "Show the last 5 tickets for customer Y", "Draft a response using product docs and ticket history".
  • IT and ops: "What changed in the last deployment", "Find the incident postmortem".

Metrics to track

  • Time to complete common tasks
  • Number of queries and types of queries

ROI

  • Increased productivity

Automate repeatable work (extraction, decisions, and workflows)

Automate tasks or multi step workflows that rely on internal knowledge and rules. This includes structured data extraction from PDFs and images, classification, routing, and generating drafts for downstream review.

The following diagram shows how SerenityGPT automates document processing and multi-step workflows.

Automation of repeatable work

Common examples

  • Document and data extraction: financial statements, tax documents, payslips, forms, diagrams, floorplans.
  • Triage and routing: classify requests, detect missing fields, route to the right queue, raise exceptions.
  • Report preparation: generate structured summaries and drafts from enterprise data sources.
  • RFI/RFP/SOW prep: fill in RFI/RFP responses and prepare SOW drafts.

Metrics to track

  • Extraction accuracy.
  • Time to prepare a report / fill in RFP / etc.
  • Exception rate / how often guardrails trigger.

ROI

  • Cost per document or request: reduce manual handling time and rework.
  • Throughput: handle higher volumes without hiring linearly.
  • Quality and risk reduction: fewer data entry errors, consistent application of rules, better auditability.
  • Faster turnaround: quicker decisions, quicker customer response, quicker processing.

What makes SerenityGPT different

  • Turnkey, not DIY. SerenityGPT delivers ready-to-use solutions, not a generic toolkit that requires significant effort and expertise to assemble.
  • Runs in your infrastructure. Unlike SaaS offerings, SerenityGPT operates entirely within the customer's environment. No data leaves the network.
  • Self-management option. Organizations can fully own and operate the product independently, an option rarely available from other vendors.
  • Fast implementation. New use cases go from concept to production in days, not months.
  • One platform for all use cases. A single configurable platform serves every department, dataset, and portfolio company. All ingested data and components are reusable across use cases, eliminating the need to onboard separate vendors or re-ingest data for each new requirement.

Evaluation system

A core component of SerenityGPT is an automatic evaluation system that measures AI performance per use case and dataset. The system evaluates correctness of answers, accuracy of field extraction from PDFs and images, and outcomes of automation. Over 50 golden sets have been accumulated across use cases and datasets to validate configuration changes before they reach production.

Delivery and collaboration

SerenityGPT offers flexible engagement models. Organizations that prefer a fully managed experience can rely on a turnkey, white-glove service where SerenityGPT handles everything end to end. Organizations with in-house AI teams can use SerenityGPT as an accelerator, delivering production-ready use cases significantly faster than building from scratch.

Live example

Perforce's Puppet documentation site at help.puppet.com features a public-facing chatbot powered by SerenityGPT. Click the search box to try it.