What are enterprise AI and agentic AI consulting services?+
They cover the strategy, engineering, integration and operation of AI applications and agents within enterprise workflows. TechTiera helps define the business use case, build the solution, connect approved systems and establish evaluation, governance and ongoing support.
How does agentic AI differ from RPA and generative AI?+
RPA generally executes configured tasks through scripts, APIs or user interfaces. Generative AI produces content and can also be part of tool-enabled applications. Agentic systems add orchestration that lets models choose steps and approved tools within defined boundaries. These approaches can work together; agentic AI is not automatically the best choice for every workflow.
When should we use a multi-agent architecture?+
Use multiple agents when specialist responsibilities, independent checks or parallel work justify the coordination overhead. A single agent or deterministic workflow may be simpler to test and operate. We assess task complexity, latency, cost and failure behavior before choosing the topology.
Which frameworks does TechTiera use?+
Options include LangGraph, CrewAI and Microsoft Agent Framework, with support for existing AutoGen and Semantic Kernel implementations. LlamaIndex can support retrieval and context workflows, while MCP can standardize selected tool interfaces. Selection depends on the architecture, team skills and deployment requirements.
How do you reduce hallucinations and unauthorized actions?+
We combine approved-source retrieval, citation checks, representative evaluations, input/output validation and human escalation. Authorization, transaction limits and operation allowlists are enforced at the tool or application boundary. Guardrails and reviewer agents help reduce risk, but do not guarantee that every model output is correct.
Can you integrate agents with SAP, Oracle, Salesforce and legacy systems?+
Yes. Integration can use supported APIs, service layers or custom adapters after assessing the application’s interfaces and permissions. We define tool schemas, scoped authentication, validation, idempotency and recovery for the specific systems in scope, including IBM Mainframe and IBM i estates.
How is enterprise data protected in a RAG solution?+
The design can include permission-aware retrieval, data minimization, redaction, encryption, access logging and retention controls. Model endpoints, hosting regions and provider data terms are assessed for the use case. Compliance depends on the complete deployment and operating process, not a retrieval feature alone.
Who maintains the agents after the original project team leaves?+
TechTiera can provide managed AI services covering agent health, tool integrations, credential lifecycle, knowledge refresh, model changes and evaluation. Prompts, tool contracts and workflow definitions are versioned, with documented runbooks and ownership. Coverage, including 24/7 where required, is agreed in the service scope.
Can AI run in our cloud or private environment?+
Deployment is designed around the selected models, data requirements and available infrastructure. Options can include Azure, AWS, Google Cloud and private environments for supported components. Model licensing, hardware needs, network dependencies and provider terms determine the final architecture.
What does an enterprise AI engagement look like?+
An engagement progresses through discovery, proof of value, production hardening and ongoing operations. Scope, milestones and commercials depend on data readiness, integration complexity, evaluation requirements and the level of autonomy. We agree acceptance criteria before expanding into production.
