Your Company Knowledge, Instantly Accessible.

How it works

1. 01We ingest your existing documentation: Google Drive, Notion, Confluence, SharePoint, or local files
2. 02Documents are chunked, embedded, and indexed for semantic search
3. 03Employees ask questions through a simple chat interface or Slack integration
4. 04The AI retrieves relevant passages and generates accurate answers with source citations
5. 05Answers link back to the original document so employees can verify and read more

Before and after

Property management company with 200+ lease agreements and internal SOPs across multiple locations

Before

Property managers spent 30+ minutes per tenant inquiry searching through lease files and policy documents. Questions like "What's the pet policy for Building C?" required digging through filing cabinets.

After

Managers ask the AI and get accurate answers with citations in under 10 seconds. "Building C allows cats under 20 lbs with a $300 deposit per Lease Addendum C, Section 4." Time spent on document lookup dropped by 85%.

What it needs from you

• Access to document storage (Google Drive, Notion, SharePoint, or file upload)
• Documents in common formats (PDF, DOCX, TXT, HTML, Markdown)
• No special infrastructure needed. We host everything
• Optional: Slack or Teams workspace for chat integration

Common questions

What if our documents are outdated or messy?

The system works with documents as-is. We can help you identify gaps and outdated content during setup, but you don't need perfect documentation to get started. Most companies see value immediately even with imperfect docs.

Can it handle confidential documents?

Yes. We implement role-based access controls so employees only see answers from documents they're authorized to access. All data is encrypted in transit and at rest.

How does it stay up to date?

We set up automatic syncing with your document sources. When you update a Google Doc or add a new file to your shared drive, the knowledge base updates within hours. Manual re-syncs are available anytime.

How it works

1. 01Upload PDFs, Word docs, spreadsheets, or scanned documents (OCR included)
2. 02The system processes and indexes the content for semantic search
3. 03Ask questions like "What are the termination clauses in this contract?"
4. 04AI returns precise answers with page numbers and direct quotes
5. 05Compare information across multiple documents simultaneously

Before and after

Law firm reviewing contracts for a commercial real estate transaction

Before

Associates spent 6-8 hours per deal manually reviewing lease agreements, identifying key terms, and comparing clauses across multiple contracts.

After

Associates upload contracts and ask specific questions: "What are the renewal terms?" "Are there any non-compete clauses?" Review time dropped from 6-8 hours to 45 minutes per deal, with cited sources for every answer.

What it needs from you

• Documents in PDF, DOCX, XLSX, TXT, or scanned image formats
• Web browser for the upload and Q&A interface
• No software installation required
• Optional: API access for integration with existing document management systems

Common questions

Can it handle scanned PDFs and handwritten notes?

Yes. We include OCR (optical character recognition) for scanned documents. Handwritten content works if it's reasonably legible. Typed scanned documents work very well.

How accurate are the answers?

The system only answers based on what's in the document. It doesn't make things up. Every answer includes a citation pointing to the exact passage. If the answer isn't in the document, it tells you rather than guessing.

Can I compare information across multiple documents?

Yes. Upload multiple documents and ask cross-document questions like "How do the liability terms differ between Contract A and Contract B?" The AI will pull relevant sections from each document for comparison.

How it works

1. 01We index your product catalog including descriptions, specs, reviews, and documentation
2. 02Customers search using natural language on your website or app
3. 03AI understands intent and context, not just keywords
4. 04Results are ranked by relevance with explanations of why each product matches
5. 05Optional: conversational interface where customers can refine their search through follow-up questions

Before and after

Industrial supply company with 15,000+ SKUs and a complex product catalog

Before

Customers called the sales team because the website search couldn't handle queries like "fitting for 2-inch PVC to copper transition." Sales team spent 40% of their time on product lookup.

After

Natural language search handles technical queries accurately. Customers find the right product in 2-3 searches instead of calling. Sales team phone volume dropped 35%, freeing them for actual selling.

What it needs from you

• Product catalog data (CSV, database export, or API access)
• Website or app where search will be embedded
• Product descriptions and specifications
• Optional: customer reviews and Q&A data for enhanced matching

Common questions

How is this different from regular site search?

Traditional search matches keywords. If a customer searches "warm jacket" but your product is listed as "insulated parka," keyword search misses it. Our semantic search understands that "warm jacket" and "insulated parka" mean the same thing.

Does it work with my existing e-commerce platform?

Yes. We integrate with Shopify, WooCommerce, BigCommerce, and custom platforms. The search can be embedded as a widget on your existing site or replace your current search bar.

How do I keep the product data current?

We sync with your product catalog automatically. When you add, remove, or update products in your e-commerce platform, the search index updates within hours.

How it works

1. 01We ingest your policy documents, regulatory filings, compliance manuals, and internal handbooks
2. 02Documents are indexed with metadata like effective dates, departments, and regulatory bodies
3. 03Employees ask compliance questions in plain English
4. 04AI returns answers with exact citations, document versions, and effective dates
5. 05Audit trail tracks every query for compliance documentation

Before and after

Accounting firm managing compliance across multiple regulatory frameworks for different clients

Before

CPAs spent 45+ minutes per client question researching tax code changes, IRS guidance, and state-specific regulations. Senior partners were constantly interrupted with "quick questions."

After

Staff ask the AI system and get accurate answers citing specific IRS publications, state statutes, and internal firm policies. Research time per question dropped from 45 minutes to under 5 minutes. Senior partners freed up 10+ hours per week.

What it needs from you

• Policy and compliance documents in any common format
• Regulatory documents and guidelines
• Web browser for the query interface
• Optional: integration with compliance management software

Common questions

What if regulations change?

We set up monitoring and re-indexing schedules. When you receive updated regulatory documents, upload them and the system reflects the changes within hours. We can also flag when documents haven't been updated past their review date.

Is there an audit trail?

Yes. Every query and answer is logged with timestamps, user identity, and source citations. This creates a documented trail showing that employees consulted the correct policies, which is useful during audits.

Can it distinguish between current and superseded policies?

Yes. We tag documents with effective dates and version numbers. The system defaults to current policies but can also retrieve historical versions when asked, like "What was our PTO policy before January 2024?"

How it works

1. 01We ingest your onboarding docs, SOPs, training materials, recorded walkthroughs, and internal wikis
2. 02New hires access a chat interface from day one
3. 03They ask questions like "How do I submit an expense report?" or "What's the process for client onboarding?"
4. 04AI provides step-by-step answers with links to relevant documents and resources
5. 05Common questions are tracked to help you improve your onboarding materials over time

Before and after

HR department at a 50-person professional services firm hiring 10-15 people per year

Before

Each new hire required 20+ hours of direct mentoring time from senior staff over their first month. The same onboarding questions were answered repeatedly. Senior staff increasingly frustrated with interruptions.

After

New hires use the AI assistant for routine questions about processes, tools, and policies. Direct mentoring time dropped from 20 hours to 8 hours per new hire. Senior staff report significantly fewer interruptions, and new hires report feeling more confident asking "obvious" questions to the AI.

What it needs from you

• Onboarding documents and training materials
• Standard operating procedures (SOPs)
• Employee handbook and policy documents
• Optional: recorded training videos (transcripts will be extracted)

Common questions

What if we don't have great documentation?

Most companies don't, and that's okay. We help you identify your most critical knowledge gaps during setup. Even starting with basic docs, the system provides immediate value. Over time, the questions people ask help you prioritize what to document next.

Can it handle role-specific questions?

Yes. We can set up role-based knowledge bases so a new sales hire sees sales-specific materials while an engineering hire sees technical docs. Each role gets a tailored experience.

Does it replace human mentoring?

Not at all. It handles the routine, factual questions so that human mentoring time can focus on nuanced guidance, relationship building, and judgment-based learning. Think of it as handling the "where do I find X?" questions so mentors can focus on the "how should I think about X?" questions.

How it works

1. 01We connect securely to your database (read-only access)
2. 02The system learns your data schema, table relationships, and business terminology
3. 03Business users ask questions in plain English through a chat interface
4. 04AI translates questions to database queries and returns formatted results
5. 05Results can be displayed as tables, charts, or exported to spreadsheets

Before and after

E-commerce company where the marketing team constantly requests data pulls from engineering

Before

Marketing submitted 15+ data requests per week to engineering. Each request took 1-3 days to fulfill. Engineering spent 10+ hours per week on ad-hoc reporting instead of building product.

After

Marketing team asks data questions directly: "How many new customers came from Instagram last month?" "What's our average order value by product category?" Engineering data requests dropped by 70%. Marketing gets answers in seconds instead of days.

What it needs from you

• Database access (PostgreSQL, MySQL, BigQuery, or similar)
• Read-only credentials for secure access
• Basic documentation of key tables and fields (we can help map this)
• Optional: existing BI tool for enhanced visualization

Common questions

Is this safe for our production database?

We connect with read-only access only. The system cannot modify, delete, or write data. We typically connect to a read replica rather than your production database to ensure zero performance impact.

What if someone asks a question the AI misinterprets?

The system shows you the generated query before running it, so you can verify it's asking what you intended. It also explains its interpretation: "I understood this as: total revenue grouped by product category for Q3 2024. Is that right?"

Can it handle complex queries?

It handles most common business queries well: aggregations, filtering, grouping, and joins across related tables. For very complex analytical queries, it may need some guidance, but it covers 80-90% of typical business reporting needs.