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Flowchestra Roadmap

Enhance each workbench with RAG-native capabilities—indexing uploaded files and previous outputs to automatically inform AI responses. Perfect for research, projects, or documentation-heavy workstreams.

In Review

RAG in Workbenches (Files + Output)

Henry-Flowchestra

See your automation savings at a glance. Track time saved, manual tasks eliminated, and calculated cost savings in real-time—giving you instant proof of Flowchestra's impact for stakeholder reports and budget conversations.

ROI Dashboard Widget

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Flowchestra understands how your team works and recommends new automations. By having context of you and your business combined with analyzing patterns across your connected tools, it identifies repetitive tasks and suggests ready-to-deploy workflows—turning manual processes into one-click automation opportunities.

Automation Opportunity Finder

Built-in guardrails for regulated workflows. Automatically enforce approval gates, maintain immutable audit trails, and ensure every automated action meets your compliance requirements—from GDPR to SOX to internal policies.

Risk & Compliance Hub

Flowchestra prompts you, not the other way around.Start each day with AI-generated insights about your workflows. Flowchestra surfaces pending approvals, stuck tasks, and automation opportunities—so you stay ahead of bottlenecks without checking multiple dashboards.

Smart Daily Digest

Migrate your AI memories seamlessly. Pull saved facts, preferences, and context from Gemini, ChatGPT, and Claude into Flowchestra’s unified memory system—giving your agents instant familiarity with your past work, tone, and style.

Memory Import from Gemini, ChatGPT, and Claude

Bring your past conversations home. Import chat histories directly from Gemini, ChatGPT, and Claude into Flowchestra to centralize context, preserve insights, and continue where you left off—no copy-paste required.

Chat Import from Gemini, ChatGPT, and Claude

Establish a unified knowledge graph that serves as Flowchestra’s central nervous system—linking entities, relationships, and context across workspaces. Acts as both a source of truth and the foundation for CAG-driven reasoning.

CMDB (Context-Augmented Generation Entity Database)

Save specific chat states as checkpoints you can revert or branch from later. Ideal for experimentation, drafts, and long-form ideation sessions.

Conversation Checkpoints

When re-rolling a response, automatically branch a new thread, not a new conversation. Keeps the main chat clean while letting you explore alternate versions of the same conversation.

Conversation Threading (Reroll Aware)

See which AI performs best for your specific task. Send the same prompt to two different models simultaneously and compare responses side-by-side—helping you choose the right AI for each workflow based on actual results, not guesswork.

Planned

Compare AI Model Output Side-by-Side

Flowchestra understands your role and Gen AI experience. Whether you're in sales, operations, or IT—and whether you're new to AI or a power user—Flowchestra automatically recommends models suited to your work and skill level.

"Right-Fit" AI Model Selection

Visualize and query relationships between ideas, entities, and memories. With graph memory, every conversation and artefact contributes to an evolving knowledge graph that can be explored and traversed contextually.

Graph Memory

Give memory structure. Each workspace and workbench maintains its own contextual memory—isolating knowledge where it belongs while allowing cross-linking when needed. Context becomes scoped, persistent, and privacy-respecting.

Partitioned Memory (Workbenches + Workspaces)

Peek under the hood. View summarized reasoning or step-by-step logic from the AI’s thought process (without the noise), for transparency and better debugging of outputs.

Chain of Thought + Reasoning Display

Create, edit, and persist markdown documents directly within chat. Perfect for drafting artefacts, notes, or structured reasoning outputs—no switching contexts, just seamless writing and collaboration.

Markdown / Artifact Canvas

Allow Flowchestra to dynamically pull in relevant context from indexed documents, notes, and datasets during chat—turning each response into an informed, source-aware output that blends recall with reasoning.

High Priority

RAG (Retrieval-Augmented Generation)

Expand beyond PDFs and images—soon you’ll be able to drop Word docs, Excel sheets, text files, and more directly into Flowchestra chat. Get instant context from any document type, making uploads more flexible and AI interactions far more powerful.

Critical Priority

Upload More File Types in Chat

Work with AI as a team, not alone. Multi-participant chats let you invite colleagues into live AI conversations—perfect for co-designing workflows, reviewing AI outputs together, or getting real-time input from subject matter experts and stakeholders.

Team AI Conversations

Get set up right, automatically. As you complete onboarding, Flowchestra asks a few simple questions about your work and AI experience—then configures model recommendations tailored to you, eliminating guesswork before you build your first workflow.

Medium Priority

Guided Default AI Model Selection

Messages are now obfuscated at rest and fully isolated at the database layer, preventing readable access via direct DB queries or internal tooling. Only approved application-level admin paths can decode and access message content, significantly reducing insider risk and strengthening our zero-trust posture.

Completed

Obfuscate Messages and Isolate Access

A visual indicator showing how much context (conversation memory or token length) is being used. Avoid losing context mid-session or hitting truncation limits unexpectedly.

Chat Context Meter

See your uploaded files to chat, be able to view their contents, copy and paste data in them without going to the file on your device.