Accelerate AI Agent Development With the CAMS Platform
Your AI programme is not moving fast enough.
Every week lost to the complexities of AI infrastructure is time lost on the development of AI agents that actually drive business value. Covasant SERAA gives your team the comprehensive enterprise-grade platform to move from validated AI use cases to production-ready AI solutions within weeks, with the governance that your enterprise requires, built in from the start.
See Covasant SERAA in Action →
The real reason enterprise AI takes longer than it should.
Building enterprise AI is about everything that surrounds the AI model. Most organizations encounter the same set of obstacles in roughly the same order. Solving them independently could be expensive. Solve them at the platform level.
01 Development velocity
AI infrastructure takes longer to build
Data pipelines, model registries, orchestration frameworks, and governance layers. Every AI programme needs them.
02 Governance
Governance added after the fact is expensive
Risk and compliance teams flag the project. Audit trails, bias checks & data lineage need to be added to something that was not designed for them.
03 Data readiness
Data quality problems surface late
Most AI projects hit their first roadblock when the model meets real data. Problems discovered in the third month of a build cycle are costlier.
04 Observability
Once agents reach production, visibility across the estate disappears
Individual teams manage their own monitoring setups. Leadership has no consolidated view of how AI is performing or what it is costing.
05 Reusability
Each new use case rebuilds what the previous one should have made reusable
The second AI project takes nearly as long as the first because components built for the first agent are not shareable.
06 Cost control
LLM inference costs accumulate before anyone is monitoring them
Without intelligent routing, every query goes to the most capable model regardless of whether the task requires it or not. No per-agent cost telemetry.
A complete AI platform that your team does not have to build themselves.
Covasant SERAA is the platform that your AI engineering team wishes existed when they started their first project. Every component they would otherwise have had to build is already there, integrated, tested, and production-ready.
01 /
Start with the right use cases, in the right order
Strategy Compass maps your AI opportunity landscape, estimates value and complexity, and recommends a build sequence. Your programme begins with the use cases most likely to deliver results and build internal credibility.
02 /
Build in Agent Studio, at the level your team works best
Visual flow builder for teams that think in processes. Pre-built domain templates for common enterprise patterns. Version control from the first commit. The environment adapts to the team.
03 /
A governance gate before production, every time, without exception
AgentEval runs automated bias detection, adversarial testing, hallucination measurement, and performance profiling before any agent reaches production. The standard is consistent and the process is documented.
04 /
Monitor and control the full agent estate from one place
AI Agent Control Tower gives leadership teams real-time dashboards, natural language querying of agent performance, threshold-based alerts, and an instant kill switch for any agent or workflow in the estate. Every action is logged.
Four components that your AI team will use every week.
These are the specific components that Covasant's own engineering teams use to build, test, deploy, and monitor every enterprise product in our portfolio.
Agent Studio
Build agents at any level of abstraction
Python SDK for engineers who want full control. Pre-built domain templates. Drag-and-drop tool binding to any data source or API.
AgentEval
The governance gate that nothing bypasses
Adversarial prompt testing, bias detection, and latency profiling. Every agent is assessed for readiness before being shipped.
AI Agent Control Tower
Enterprise oversight your CTO and CISO trust
Real-time dashboards by role and persona. Natural language querying of agent performance. Threshold alerts and an instant kill switch.
Explore AI Agent Control Tower →
Data Quality
Data your agents can trust from the first query
Resolves duplicates, conflicts, missing values, and referential integrity issues before any agent touches the data.
What building agents on Covasant SERAA delivers, compared to building from scratch.
10× Faster time from use case to production versus building equivalent infrastructure from scratch
60% Inference cost reduction when ModelHub routes to task-optimized models
3× Retrieval accuracy improvement with HybridRAG versus pure vector search on enterprise knowledge bases
Zero Agents reach production without clearing the AgentEval governance gate.
We built these on Covasant SERAA.
Every enterprise product that Covasant has shipped has been built on Covasant SERAA. The same platform that your team will use. These are the results that demonstrate what the platform produces at enterprise scale.
[Internal Audit and FWA
Fraud · Waste · Abuse · Compliance
Built on Covasnat SERAA. Monitors transactions and internal processes continuously for fraud, waste, and abuse. Evidence attached to every finding. Deployed at enterprise scale.
AnomalyRadarAgentOps](/content/products/konaai/index.html) [Agentic Security
Threat Detection · Incident Response
Agentic threat detection and autonomous response. Threats identified, assessed, and contained before human analysts are paged. Full audit trail under AI Agent Control Tower oversight.
InsightEngineControlTower](/content/products/cyberprotx/index.html) [Agentic Reasoning Intelligence
Risk Augmentation · Board Reporting
CRO and board ask risk questions in plain English. Covasant SERAA agents answers from live operational data across your full risk estate, with evidence and recommended actions.
AgentMindHybridRAG](/content/products/ariia/index.html)
One Covasant SERAA platform powers:
Axon, Cortex, Pulze, Synapse.
You bring the problem. We bring the platform.
Whether your team builds on Covasant SERAA independently, wants Covasant to build for you, or needs a proven product deployed now, the platform is the constant.
Path 01
Build your own AI products on Covasant SERAA
Your engineering team uses Covasant SERAA to build proprietary AI agents and products. You bring domain knowledge and the use case. Covasant SERAA provides the infrastructure, governance pipeline, and deployment environment. You own everything you build.
For teams with internal AI capability
Path 02
Have Covasant build it for you on Covasant SERAA
You bring the business challenge and industry context. Covasant's team uses Covasant SERAA to design, build, and deploy a production-ready AI product for your organization. Faster than a greenfield build. Enterprise-grade governance from day one.
For teams that want to move fastest
Path 03
Deploy an existing Covasant product
If your challenge maps to a problem that Covasant has already solved, deploy a proven product and configure it to your requirements. 5+ products in production across risk, compliance, security, legal, and industry verticals.
For the fastest time to value
Frequently asked questions
Questions that AI and engineering leaders ask us
If your question is not here, our AI platform team will answer it directly. No sales scripts.
How long does it take to build an AI agent on Covasant SERAA?
Most enterprise AI agent development teams reach production within two to six weeks on Covasant SERAA, compared to three to six months for equivalent greenfield builds. The difference is what you are not building: data pipelines, a model registry, an orchestration framework, a governance layer, and an observability stack are already there, integrated, and production-tested.
Simple single-agent workflows with clean data are typically live within two weeks. Multi-agent orchestration across several data sources runs four to six weeks. Either way, your team is working on agent logic from day one rather than infrastructure.
What is Agent Studio and who can use it?
SERAA Cortex Agent Studio is the primary build environment within the platform's Agent Operations layer, designed for enterprise AI teams across the full skill range. It offers a visual, low-code flow builder for teams that work in processes and business logic, alongside a full Python SDK for engineers who need complete control.
Both paths share the same version control, governance pipeline, and deployment environment. There is no separate tool for technical and non-technical users; just two entry points into the same production infrastructure.
Does Covasant SERAA support no-code, low-code, and pro-code development?
Yes, the low-code path in Agent Studio gives teams a visual drag-and-drop builder with pre-built domain templates and tool binding to any data source or API, without writing code. The pro-code path exposes the full Python SDK, direct model configuration through ModelHub, and custom orchestration logic via OrchestratAI.
Most enterprise teams use both: low-code to validate logic quickly, then SDK-level refinement before production certification through AgentEval.
How does Covasant SERAA test and certify agents before deployment?
Every agent passes through AgentEval before it reaches production, and this step is mandatory with no bypass. AgentEval runs automated bias detection, adversarial prompt testing, hallucination rate measurement, and latency profiling, producing a documented production readiness record each time.
The standard is identical for every agent, every team, every release. For enterprise AI development teams in regulated industries, this means risk and compliance functions see a consistent governance record for every agent that ships, rather than ad hoc testing documentation that varies by team.
What cloud environments does Covasant SERAA support?
Covasant SERAA supports deployment across major cloud environments, including AWS, Microsoft Azure, and Google Cloud Platform, as well as hybrid and private cloud configurations for organizations with data residency or sovereignty requirements. ConnectCore handles connectivity to existing enterprise data sources, APIs, and third-party systems regardless of where they are hosted.
For teams evaluating Covasant SERAA as an enterprise AI agent development platform, the relevant question is where your data lives and what your security posture requires. Speak to a Covasant solutions engineer about your specific requirements during the technical demo.
See Covasant SERAA running a real agent lifecycle, end to end.
We will walk your AI and engineering leadership through a live session. From use case mapping in StrategyCompass to an agent running in production under AI Agent Control Tower oversight. No slides. Actual infrastructure.