Platform Capabilities
From document compliance to project management to AI phone agents, GoOmni replaces the fragmented SaaS stack with one platform that does the actual work, with governance and security on every action.
Knowledge Management
When critical knowledge lives only in people, every departure is a risk event. When documents are not searchable, your team wastes hours finding answers that should take seconds.
Upload
PDF, Word, web
Index
AI processes
Search
Ask anything
Answer
With source link
Organization knowledge that is searchable in one place.
PDF, Word, Excel, HTML, and scanned files all get processed, indexed, and made searchable. Connect Google Drive for automatic sync.
Trustworthy answers backed by sources.
Your team asks questions in plain English. Every answer includes the source document, page, and paragraph so you can verify it.
AI grounded in your business content.
Your knowledge base powers every other capability: proposals cite your documents, voice agents answer from your content, compliance checks use your standards.
Before: manual process
8+ hours per week
Searching through folders and asking colleagues
Per employee spent searching for information
With GoOmni: automated
30 seconds
Ask a question, get an answer with the source document
AI searches your entire document library instantly
Document Compliance
Government agencies, healthcare organizations, and financial institutions face real legal exposure from non-compliant documents. Manual auditing costs $30-100 per document and takes weeks.
Upload
Any document
Scan
ADA, PII, readability
Fix
Auto-remediate
Compliant
Ready to publish
Compliant documents delivered, already fixed.
Upload a non-compliant PDF and get a fixed version back, with proper tags, metadata, reading order, bookmarks, and alt text written into the file.
Sensitive data found before it becomes a breach.
Scan for Social Security numbers, credit cards, medical records, and financial data. Optional automatic redaction. Process entire document libraries in batch.
Documents your audience can actually understand.
Grade-level scoring, reading ease analysis, and plain-language compliance checks. Government documents must meet specific standards for public accessibility.
Every document is analyzable, no matter how it was created.
Scanned PDFs, images with text, and complex layouts are processed automatically, the same as native digital files.
Before: manual process
$50-100 per document
Manual review by compliance specialists
Weeks of turnaround for large document libraries
With GoOmni: automated
$2 per document
Automated scan, auto-fix, compliant document returned
Minutes per document, batch processing for libraries
Project Management
Disconnected tools create gaps. Stories change but downstream artifacts stay stale. Traceability becomes a retroactive scramble at audit time.
Requirement
What to build
Stories
With criteria
Estimate
AI-scored effort
Push
To Jira/Asana
Planning that connects directly to delivery.
Turn requirements into user stories with acceptance criteria. AI estimates effort with risk factors and split recommendations. Sprint planning considers velocity and capacity.
Effort allocated by business risk and impact.
Identify product risks using business impact scoring. Compliance gaps, security concerns, and dependency risks, all surfaced before sprint planning.
Audit-ready in seconds.
Automatic links between every requirement, story, test case, execution result, and defect. Generated from live data as work happens.
Before: manual process
2-3 days per sprint
PM writes stories manually, estimates in meetings
Story writing, grooming sessions, estimation poker
With GoOmni: automated
15 minutes
AI generates stories with criteria and estimates
Stories with acceptance criteria, effort scores, and risk flags
Dev Team Workflow Automation
Developers spend 20-30% of their time on process overhead: writing tickets, updating statuses, logging time, and generating test cases. That is engineering capacity burned on administration.
Meet
Google Meet
Tickets
Auto-generated
Dev builds
In Cursor/Claude
PR + Log
Auto-complete
Test cases
AI-generated
Meeting decisions become trackable tickets in under 2 minutes.
Every Google Meet is transcribed. AI extracts action items, decisions, and feature requests and converts them into structured ClickUp or Jira tickets, without a PM manually writing anything.
Tickets written in seconds.
Project managers use their existing AI assistant to create tickets. GoOmni MCP server provides tools for ticket creation with duplicate checking, project context awareness, and best-practice formatting built in.
No context switching. Full context on every ticket.
Developers see their sprint tasks directly in Cursor or Claude Desktop. Claim a ticket to get full context, acceptance criteria, and an AI-generated execution plan. All without leaving the editor.
Five manual steps become one command.
When a developer finishes, one call to complete_ticket updates the ticket status, posts the work summary as a comment, links the GitHub PR, logs time to the timesheet, and generates test cases as subtasks.
One workflow regardless of client or platform.
One adapter interface works across all PM platforms. Internal teams use ClickUp; client projects use whatever the client has. Same workflow, same commands, and the platform is abstracted away.
Clean backlog from every input channel.
Accept submissions from email, Slack, support forms, or client request forms. AI checks for duplicates before creating, consolidates related reports, and routes to the right project.
Before: manual process
3-4 hours per developer per week
PM writes tickets manually, devs update status, QA writes test cases
Process overhead on ticket writing, status updates, time logging, test case creation
With GoOmni: automated
15 minutes per week
Meetings create tickets, devs complete work, everything syncs automatically
MCP server in Cursor/Claude handles all PM interactions programmatically
Quality Assurance
Without structured testing, the busiest person decides what gets tested. You end up over-testing low-risk areas and missing the paths that actually break in production.
Requirement
What to test
Test Cases
AI-generated
Execute
Real browsers
Defects
Auto-created
Test cases that leadership trusts and auditors accept.
AI generates test cases from your requirements. Each traces back to its source and includes priority, preconditions, and expected results. Catches edge cases humans miss on first pass.
Reliable automation that catches defects before customers do.
Tests run in actual browsers with parallel execution, self-healing selectors, and screenshots at every step, against your live application.
Zero gap between test failure and defect documentation.
When a test fails, a defect ticket is created with screenshot, errors, URL, failed step, and reproduction steps. Full severity classification.
Before: manual process
2-3 weeks
QA writes test cases manually, runs in spreadsheets
For a full regression suite on a mid-size application
With GoOmni: automated
2-3 hours
AI generates and executes tests in real browsers
With screenshots, defect tickets, and traceability
Automation and Delivery
Manual processes create inconsistency, consume the time of your most expensive people, and prevent the organization from scaling.
Input
RFP, call, lead
AI Process
Analyze & draft
Human Review
Approve & edit
Deliver
Final output
Proposals drafted in days, every claim cited.
Multi-step AI chain for proposals: analysis, research, content writing, quality review. Every response grounded in your knowledge base with full citations.
Calls answered 24/7 with accurate, context-aware responses.
Inbound and outbound AI phone agents that answer from your knowledge base. Call recording, transcription, and CRM sync. Run outbound campaigns at scale.
Quality checks built into every deployment.
Trigger test runs from your deployment pipeline. Export test cases as runnable automation scripts. Quality gates built into your release process.
Migration-ready in days.
Crawl any website, audit every page for performance, accessibility, and SEO. Generate a complete migration plan with content mapping and navigation strategy.
Qualified leads surfaced automatically.
Discover government and enterprise procurement opportunities automatically. Filter by industry, location, and size. Qualified leads surfaced without manual research.
Outreach that scales without headcount.
Build outbound call campaigns. AI agents dial, converse, and log results. SMS follow-ups with delivery tracking. CRM sync for every interaction.
Before: manual process
3-4 weeks per RFP
Senior staff manually writes proposals and answers calls
Using your most expensive team members
With GoOmni: automated
2-3 days per RFP
AI drafts, humans review and approve
Every claim cited from your knowledge base
GoOmni does the work, then pushes results to the tools your team already uses. Tickets sync with Jira. Defects push to Linear. Voice calls log to your CRM. Developers claim and complete tickets from their editor.
Tasks, sprints, time tracking, and knowledge base for internal teams
Sync tickets, push stories and bugs, auto-update on completion
Pull tasks, push work items, mark complete from your IDE
Issues with priority mapping and team hierarchy
User stories, bugs, and test cases
Auto-transcribe meetings and extract action items into tickets
Create branches, open PRs, link tickets, auto-comment on merge
Trigger test runs automatically on deploy
Connect Claude Desktop, Cursor, or ChatGPT to GoOmni tools natively
Your AI assistants use GoOmni as tools via MCP
Claim tickets, get AI plans, complete and sync from your editor
Inbound ticket intake from any channel
CRM sync, meeting booking, contact management
Phone numbers, voice calls, SMS messaging
File sync, folder import, automatic indexing
We do not sell AI as magic. GoOmni executes real work at scale, but some decisions still require human judgment. Here is an honest breakdown.
Indexing and searching thousands of documents, with every result traced to its source file and paragraph.
Auditing documents for ADA accessibility at scale, checking structure, reading order, alt text, and more across thousands of files.
Detecting sensitive data patterns (SSNs, medical records, financial data) across document libraries that would take weeks to review manually.
Processing scanned documents via OCR, the same as native digital files.
Generating structured test cases from requirements, consistently catching edge cases and negative paths humans miss.
Running tests in real browsers with self-healing automation against your live application.
Triaging support requests across email, Slack, and webhooks, checking for duplicates, matching to existing tickets, and generating structured tickets automatically.
Giving developers full ticket context and execution plans inside their editor, then updating Jira/Asana when work is complete.
Crawling websites, running performance and accessibility audits on every page, then generating migration plans with content mapping.
Business context and strategic intent. AI generates from what it reads, and only your team knows what the business actually needs, so human review is mandatory.
Visual and UX validation. Automation verifies functional behavior, and a human still judges whether the design looks right and the experience feels good.
Complex authentication (CAPTCHAs, hardware tokens, multi-step SSO) and highly dynamic applications that change constantly.
Compliance sign-off. AI produces audit-ready artifacts, and regulatory certification still requires a qualified human signature.
Exploratory testing. Scripted execution cannot replace a skilled QA engineer's creative investigation of unexpected behavior.
Our philosophy: GoOmni replaces the fragmented SaaS stack and gives your team time back. AI generates the first draft. Humans review, refine, and approve. Test execution happens in real browsers against your live application. Every artifact traces back to its source. The goal is to give your team one platform that does the repetitive work so they can focus on decisions only humans can make.
Generate test cases, run an ADA compliance audit, scan a document for sensitive data, or sync your Jira backlog and get AI quality scores, all in under 5 minutes.