Use eSynapse when a ready-made enterprise AI Agent can address a common business function. Use Aigent when AI must execute your own business process under your rules, systems, validations, approvals and required outcomes.
Common business functions, packaged as deployable AI Agents.
Governed AI execution built around your own business process framework.
The right route depends on whether the underlying need is common enough for a packaged agent, or specific enough that AI must operate within your own process and control framework.
eSynapse packages common enterprise AI needs into deployable agents that can connect to your systems, data and workflows.
Multilingual inbound and outbound Voice Agent for customer service, sales, lead qualification, campaigns, reminders, routing and CRM-connected actions.
Recruitment support across job definition, CV screening, shortlisting, outreach and structured first-round interview workflows.
Conversational access to business data, dashboards and cross-system analysis for operational and management decisions.
Secure search across enterprise content with semantic retrieval, source-backed answers, extraction, summaries and comparisons.
Each module is packaged around a recognizable enterprise function while remaining configurable to your business language, systems and operational rules.
Trigger: customer call or outbound campaign.
AI: understands intent, handles conversation, retrieves context and follows the configured call flow.
Enterprise action: CRM update, lead capture, ticket creation, escalation or follow-up.
Trigger: job requirement and candidate applications.
AI: parses profiles, compares criteria, ranks candidates and supports structured interview steps.
Enterprise action: shortlist, recruiter review, outreach and interview workflow.
Trigger: natural-language business question.
AI: retrieves authorized data across connected systems and analyzes the relevant metrics.
Enterprise action: answer, summary, comparison, trend or decision-ready analysis.
Trigger: employee or business query.
AI: searches authorized repositories, retrieves relevant content and synthesizes the response.
Enterprise action: source-backed answer, extraction, summary or document comparison.
Aigent makes the business process — not the LLM — the source of control.
Procedures, stages, methodology, business rules and required outputs become part of the executable framework.
Different agents or stages can use different public, private or open-source models according to enterprise policy.
Critical outputs can be checked through rules, calculations, schemas, evidence and policy constraints after AI reasoning.
Define required deliverables, evidence, acceptance criteria, approvals and execution history before the process runs.
The platform turns the approved way your organization works into a governed AI execution framework.
What must this AI service achieve?
Methodology, policies, process stages and decision criteria.
Data, systems, tools, documents and external sources.
Specialist agents, models, tools and orchestration logic.
Validations, evidence, exceptions and approval thresholds.
Required sections, schema, calculations, evidence, formatting and acceptance criteria.
Aigent can be designed around customer model policy, data classification, integration requirements and workload characteristics rather than forcing every process onto one model strategy.
Use leading hosted LLMs where quality, capability and speed are the priority.
Use customer-controlled or restricted model environments where enterprise policy requires tighter control.
Use open-source models where workload, deployment and governance requirements justify them.
Route different tasks to different models based on quality, security, privacy, cost and latency.
Start with eSynapse when a packaged AI Agent fits the function. Move to Aigent when the process itself is the differentiator.