Enterprise SaaS
Deliver more value to customers.
Custom AI agents resolve support requests, coordinate incidents and carry engineering tasks toward review, giving SaaS teams capacity to ship.
- Product knowledge and accounts
- Support requests and runbooks
- Product alerts and changes
- Code and acceptance criteria
WORKFLOWS TO TRANSFORM
Accelerate your core business.
Turn product knowledge, usage and code into customer value, retention and a stronger product.
Support resolution
Support queues grow when product questions and account actions need repeated specialist handoffs.
AI agents answer approved product questions, perform permitted service actions and carry cases across support systems, escalating complex requests with context.
THE VALUEHelp customers keep using and adopting the product.
Incident coordination
Incident responders lose time assembling alerts, recent changes and updates across tools.
AI agents assemble incident context, suggest approved runbook steps and coordinate draft updates, helping responders move from investigation toward controlled mitigation.
THE VALUERestore dependable product service when incidents interrupt customers.
Engineering delivery
Engineering backlogs stall delivery when issues, implementation and checks require separate manual effort.
AI agents turn scoped work items into code changes, run agreed checks and prepare reviewable pull requests aligned to the original requirements.
THE VALUEShorten the path from issue to product improvement.
MEASURE THE OPERATING CHANGE
- Support case resolution time
- Incident mitigation time
- Engineering change review time
Illustrative AI opportunities. Success measured against your baseline.
IMPLEMENTATION & TRANSFORMATION
From bottleneck to working agents.
Elygent implements agents across support, incident and engineering workflows, connecting product context and tools before a tested rollout.
Simplify the workflow
Connect the foundation
Deploy and enable
Operate and improve
Implementation details and decision owners
Support queues, incident bridges and engineering backlogs compete for the same specialists. Agents carry routine steps across tools, so people can resolve exceptions and ship.
Custom AI agents, team enablement and accelerated delivery turn a redesigned workflow into a working service. The implementation is tested against your systems, controls and acceptance standard.
- Where we start
- Your core data, existing systems and a valuable operating bottleneck.
- What we implement
- An implemented agent workflow, enabled people and measured operating outcomes.
The foundation for execution
- Product knowledge and accounts
- Qualify ownership, permitted access, quality and business context before connecting.
- Support requests and runbooks
- Qualify ownership, permitted access, quality and business context before connecting.
- Product alerts and changes
- Qualify ownership, permitted access, quality and business context before connecting.
- Code and acceptance criteria
- Qualify ownership, permitted access, quality and business context before connecting.
Agreed measures
Measurement definitions to agree and baseline per engagement; no achieved performance is claimed.
- Support case resolution time · Time
- Elapsed time between the agreed start and accepted completion of the workflow. Compare with the baseline while preserving quality and required review.
- Incident mitigation time · Time
- Elapsed time between the agreed start and accepted completion of the workflow. Compare with the baseline while preserving quality and required review.
- Engineering change review time · Time
- Elapsed time between the agreed start and accepted completion of the workflow. Compare with the baseline while preserving quality and required review.
People retain the decisions
- Support resolution
- Resolved support requests and shorter handoffs to specialists. Support owners approve sensitive actions and exceptions.
Grounded language answers and intent-driven service flows use approved product knowledge. Controlled support actions are documented; sensitive account changes require separately authorized workflows.
- Incident coordination
- Coordinated incident response with less context gathering. Incident commanders approve mitigation and communications.
Summarizes and relates alerts, changes and incident history to accelerate responder context. Outputs provide context and suggestions; responders validate mitigation, root cause and stakeholder updates.
- Engineering delivery
- Tested code changes ready for engineer review. Engineers approve merges and production releases.
Generates code from scoped issues and repository context, then executes tests/linters and prepares reviewable changes. GitHub supports scoped tasks with plan, repository and policy restrictions; humans approve merging and release.
- Simplify the workflow
- Find the bottleneck. Remove waste and agree the baseline. Current work, policies and baseline. A simpler workflow with agreed success measures. Process owner and Elygent team.
- Connect the foundation
- Make your data, knowledge and systems usable by agents. Approved data, knowledge and system access. Trusted context and qualified system connections. Data owners and implementation engineers.
- Deploy and enable
- Build agents, test exceptions and train the people using them. Test cases, review paths and working methods. A validated agent workflow and an enabled team. Elygent engineers and your team.
- Operate and improve
- Measure completed work, improve throughput and expand what works. Accepted outputs, turnaround and exceptions. A measured operating service with approved improvements. Service owner and Elygent team.
Elygent OS supports connected knowledge and approved learning behind the workflow.
Do we need to replace our systems?
Start with your existing workflow and qualify the connections. Data and context are prepared around it; system access and supported actions are agreed before deployment.
How do we know the work improved?
Baseline turnaround, completed work and review effort. Test the new workflow, measure accepted output in operation and expand only after the result is validated.
Research behind these use cases
FROM OPPORTUNITY TO OPERATION
Find your highest-value workflow.
Bring your enterprise saas workflow. We’ll map the bottleneck, outcome and implementation.