Fractional AI Office starts with the business problem. When a validated opportunity moves into implementation, Elite can accelerate common use cases with eSynapse or use Aigent when AI must execute a unique business process under defined controls.
Packaged AI capabilities when the business need is common and recognizable.
Governed AI execution when the business process itself is unique.
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 brings together packaged AI agents for common enterprise functions. Each module starts from a recognizable business need and can be configured around your business language, systems and workflows.
Multilingual inbound and outbound voice for customer service, sales, lead qualification, campaigns, booking, reminders and CRM-connected actions.
Job definition, CV screening, candidate search, shortlisting, outreach, scheduling and structured interview support.
A conversational workspace across connected CRM, finance, ERP, email, document and commerce systems — built for cross-system answers, reporting and operational insight.
Secure semantic search across enterprise repositories with source-backed answers, summaries, extraction and document comparison.
Voice Agent can be experienced through live conversations. Talent, Business Intelligence and Enterprise Search are better understood through the business workflows, questions and outputs they support.
Try scenarios such as real-estate qualification, appointment booking, customer support, sales qualification, payment reminders and order assistance.
See how the agent moves from job definition to screening, candidate discovery, shortlist and structured interview support.
See examples that combine sales, finance, ERP, email, documents and commerce data to expose business risks and opportunities.
See how policy, contract, technical, procurement and product questions become source-backed enterprise answers.
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.