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Published 26 Jan 2026· via AWS· Blog post

Totogi automated change request processing for telco BSS using Amazon Bedrock multi-agent workflows

Totogi · Tech & Comms · United States

Headline result

↓ 7 days

time

As reported by the source; not independently verified.

Summary

Totogi automates change request processing for telecom business support systems (BSS) with its BSS Magic platform.

The solution addresses the complexity of telco stacks that include hundreds of vendor applications and require costly customizations, lengthy testing, and specialized engineering expertise.

BSS Magic uses a telco ontology and a multi-agent framework to automate the full software development lifecycle for change requests, including business analysis, technical architecture generation, code generation, automated QA, and test suite generation.

Amazon Bedrock provides the foundation models, while AWS Step Functions and AWS Lambda coordinate state, orchestration, and workflow execution.

The problem

  1. 01Traditional BSS change requests span many vendor applications and are difficult to integrate or customize.
  2. 02Small updates can require repeated coding, testing, and reconfiguration, creating slow and resource-intensive release cycles.
  3. 03Telcos face a shortage of specialized engineering talent, which increases cost and extends timelines.
  4. 04Existing vendor ecosystems often slow adoption of open standards such as TM Forum ODA.

What they built

  1. 01Totogi built BSS Magic, a multi-agent AI framework for automated change request processing.
  2. 02A telco ontology provides semantic context and interoperability across data structures and vendor systems.
  3. 03Specialized agents handle business analysis, technical architecture, code generation, QA review, and test automation.
  4. 04The system uses Amazon Bedrock with Anthropic Claude models for generation, AWS Step Functions for orchestration, and AWS Lambda for supporting execution and state transitions.
  5. 05RAG, few-shot prompting, feedback loops, and an audit trail help maintain telecom-specific quality and traceability.

Reported results

  1. 01Change request processing time was reduced from 7 days to a few hours.
  2. 02The automated testing framework achieved 76% code coverage.
  3. 03The solution delivers telecom-grade code with minimal human intervention.
  4. 04The platform is positioned to accelerate telco feature delivery and reduce operational cost.
  • Automated change request processing
  • Added multi-agent BSS automation
  • Delivered telecom-grade code reliably
  • Accelerated feature delivery cycles

Source

AWS

Blog post · 26 Jan 2026 · Published by a vendor

Read the original(opens in a new tab)

How this deployment compares

Computed from the library · data 10 Nov 2026

This is the only Totogi deployment in the library. It is one of 32 workflow orchestration deployments, 16 of them in Tech & Comms.

Totogi in the library

The only Totogi deployment in the library

Too recent to judgeFollow-through is judged once a record is 1 year old; this one is 10 months old.

Same pattern, whole library

One of 32 workflow orchestration deployments

  • Tech & Comms accounts for 16 of them (50%), more than any other industry.
  • 20 records of this pattern came before it; 9 have been published since.
  • Only 8 of the 32 put a number on the result (25%).
Provider mix
  • Microsoft69%
  • AWS31%
  • GCP22%
Most-used technology
  • Azure OpenAI 10
  • Azure AI 8
  • Copilot 6
  • Power Platform 4
  • Azure AI Foundry 4
  • Copilot Studio 4

Shares describe this library, not the whole market.

Workflow orchestration analysis

Results against peers

What peers report

  • Time & speed42 figures, Tech & Comms · middle half 33%–75%60%median reduction
  • Customer experience50 figures, all industries · middle half 20%–90%28%median increase

Peer figures are as reported by their sources; percentage claims only.

How we checked this record

Evidence tier: supported

A credible source with a named customer, but not the organization's own account.

Named organization
Totogi
Who published the source
The technology vendor
Deployment status
Production (confidence 95%)
Quantified result
The source reports at least one figure
Summary checked against source
5 / 5 agreement

Last re-checked 13 Jun 2026.

This record is evidence for

Insight · industryTech & Comms dossierOne of 402 Tech & Comms deployments. See which patterns dominate there and what they report.Insight · patternWorkflow orchestration32 deployments share this pattern. See where it is used and how it is built.Trend · momentumBuilding pattern5 new deployments in the last six months, against 5 in the six before.

Same pattern, other organizations

All workflow orchestration deployments
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    Agentic

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    Multi-agent

    ↓ 10×
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