Can Remova connect to our internal documents like a search assistant does?

Yes. Remova's Team Workspaces allow you to upload or connect specific datasets (via RAG ) to create highly accurate, grounded AI assistants tailored to specific departmental needs.

Alternative

Alternative to Enterprise Search Assistants

If Enterprise Search Assistant is no longer a fit for enterprise rollout, Remova gives teams a more structured way to govern access, policy, workflow controls, and cost ownership.

TL;DR

—Enterprise Search Assistant may work for narrower usage, but teams usually switch when governance requirements outgrow the product model.
—Remova combines broader model choice with policy, access, retention, and budget controls that scale across departments.
—This page focuses on the practical reasons buyers move when convenience is no longer enough.

Switch to Remova

About Enterprise Search Assistant

Enterprise search assistants are incredibly powerful tools for knowledge retrieval. By indexing an organization's entire Google Drive, SharePoint, and Confluence, they allow employees to ask questions and instantly receive synthesized answers based on internal documents. They excel at 'finding the needle in the haystack.'

However, knowledge retrieval is only one narrow slice of how enterprises use generative AI. As adoption matures, employees move beyond simple search. They need to draft long-form content, write code, analyze massive datasets, orchestrate multi-agent workflows, and interact with external APIs. Enterprise search tools are rarely designed to support these complex, generative, and agentic workloads.

Furthermore, because their core competency is search, they often lack the deep, granular governance controls required for broader AI usage. They typically do not offer model agnosticism (tying you to their specific backend), lack robust FinOps capabilities to track API spending by department, and do not provide an abstraction layer for securing your own custom-built internal AI applications. If your goal is simply to build an internal search engine, they are excellent. If your goal is to govern the entire spectrum of enterprise AI adoption, they are insufficient.

Common Reasons to Switch

Narrow Use Case: Optimized almost exclusively for internal RAG (Retrieval-Augmented Generation) and search, ignoring broader generative workflows.
Lack of Model Flexibility: Organizations are usually locked into the specific models the search vendor has chosen to integrate, missing out on the broader frontier ecosystem.
Missing Developer Tools: No Governed API layer to secure and monitor custom AI applications built by your internal engineering teams.
Weak Cost Allocation: Limited ability to enforce strict departmental budgets or perform detailed FinOps analysis on token consumption.

Why Choose Remova Over Enterprise Search Assistant

Full-Spectrum Governance

Govern everything from simple knowledge retrieval to complex coding tasks, data analysis, and custom agentic workflows under a single policy engine.

Model Independence

Route your workloads to any model—OpenAI, Anthropic, Google, or open-source—ensuring you always have access to the best tool for the specific job.

Developer API Access

Provide engineering teams with a secure, governed API gateway to build internal AI applications without bypassing security controls.

Comprehensive AI FinOps

Track every token consumed across chat, search, and API usage. Set hard budgets by team and optimize costs through intelligent model routing.

Free Assessment

How Exposed Is Your Company?

Most companies already have employees using AI. The question is whether that's happening safely. Take 2 minutes to find out.

You get

A short report showing where your biggest AI risks are right now.

Decision Signals

Policy enforcement depth in real workflows
Operational burden on admins and managers
Cost ownership clarity at department level
Audit and reporting quality for leadership reviews

Migration Plan

Map current enterprise search assistant workflows by team and risk level.
Define policy, access, and budget baselines before migration starts.
Run a controlled pilot with clear success metrics and exception handling.
Scale in phases and review governance outcomes every month.

Free Resource

Your 30-60-90 Day AI Rollout Plan

What to do this month, next month, and the month after. A concrete plan for rolling AI out to your teams without chaos.

You get

A 3-phase rollout plan with specific actions for each stage.

Knowledge Hub

Switching FAQs

Yes. Remova's Team Workspaces allow you to upload or connect specific datasets (via <a href='/glossary/rag'><a href='/glossary/rag'>RAG</a></a>) to create highly accurate, grounded AI assistants tailored to specific departmental needs.

Remova focuses on governed, intentional grounding. Instead of indexing your entire company (which often surfaces stale or mis-permissioned data), Remova allows department leads to curate specific, high-quality knowledge bases for their teams.

It depends on your primary goal. If you simply want a better search bar for SharePoint, a dedicated search tool is great. If you want a secure platform for employees to interact with frontier models, write code, and build workflows, Remova is the better choice.

Yes. Remova provides the governance and orchestration layer necessary to deploy and manage complex, multi-step agentic workflows securely.

ENTERPRISE AI GOVERNANCE

Evaluate whether switching from Enterprise Search Assistant is really about features or about needing a stronger operating model for AI adoption.