Dashworks

𝗔𝗜 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 𝗮𝗿𝗲 𝗼𝗻𝗹𝘆 𝗮𝘀 𝗴𝗼𝗼𝗱 𝗮𝘀 𝘁𝗵𝗲𝗶𝗿 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻. If they’re not easily integrated into your daily workflows, they won’t get used. That’s why Dashworks is designed to meet you wherever you already work: 🌐 𝗪𝗲𝗯 𝗔𝗽𝗽 – Search, ask, and explore everything your company knows. 💬 𝗦𝗹𝗮𝗰𝗸𝗯𝗼𝘁 (𝗗𝗠𝘀 & 𝗖𝗵𝗮𝗻𝗻𝗲𝗹𝘀) – Get answers in DMs or let Dashworks auto-respond in team channels. 🖥 𝗡𝗲𝘄 𝗧𝗮𝗯 𝗣𝗮𝗴𝗲 – Custom new tab page that doubles as your company homepage. 📌 𝗦𝗶𝗱𝗲 𝗣𝗮𝗻𝗲𝗹 – Keep Dashworks handy while browsing any site. 🔍 𝗔𝗱𝗱𝗿𝗲𝘀𝘀 𝗕𝗮𝗿 – Just type `dash` + your question in the address bar to ask Dashworks. 🔗 𝗔𝗻𝘀𝘄𝗲𝗿 𝗔𝗣𝗜 – Embed Dashworks into your own apps, help centers, or internal tools. The result? We're seeing 𝟮𝘅 𝗵𝗶𝗴𝗵𝗲𝗿 𝗗𝗔𝗨/𝗠𝗔𝗨 than the median AI product. When AI assistants fit naturally into your workflows, adoption follows 🚀

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🚀 Revolutionizing Enterprise Support with AI-Driven Search Inspired by Prasad's insights on AI-powered enterprise search transformation, let's dive into the metrics that matter:  📊 Impact Analysis Spotlight  - 94% faster search resolutions: From 12-15 minutes to 45 seconds per query - 38-42% ticket deflection rate: Freeing up 1,200+ hours/year per department for strategic work - 70% less cross-team coordination: Slashed from 2.3 hrs/ticket to 0.7 hrs 🔍 Why This Matters Imagine your customer service team resolving IT issues in real time using Slack-integrated AI (Source 1) or HR instantly surfacing updated policies during employee onboarding. Dashworks' no-indexing API approach eliminates stale data risks while cutting setup time from days to seconds.  💡 Practical Wins 1. Customer Support: Reps access real-time account updates mid-call 2. IT Teams: Deflect 42% password-reset tickets via self-service AI 3. Leadership: Gain 3.2 hrs/employee/week back through reduced search friction 📈 Financial Impact   - $280K-$420K annual savings for 500-employee orgs   - 6-9 month ROI through productivity gains Prasad Kawthekar perfectly captures the paradigm shift: AI isn’t replacing service desks—it’s elevating them to handle complex, high-value work. The future belongs to teams leveraging tools like Dashworks to turn tribal knowledge into strategic advantage.  👉 What’s your experience with AI-driven search? #EnterpriseAI #FutureOfWork #OperationalExcellence #dashworks *(Metrics sourced from Dashworks impact studies & InvGate service desk analysis)*

𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝘀𝘁 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 𝗳𝗼𝗿 𝗔𝗜 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁𝘀 𝗶𝗻 𝘁𝗵𝗲 𝘄𝗼𝗿𝗸𝗽𝗹𝗮𝗰𝗲 𝘁𝗼𝗱𝗮𝘆? 𝗖𝗼𝗻𝘁𝗲𝘅𝘁. For AI assistants to be truly useful in the workplace, they need to understand more than just the words in your request. They have to grasp the unspoken context—who you are, what you actually need, and how to separate signal from noise to deliver accurate, reliable answers. We've learned this firsthand while building Dashworks to answer all workplace questions as precisely as possible. It boils down to four key pillars: 𝗽𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻, 𝗿𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹, 𝗿𝗮𝗻𝗸𝗶𝗻𝗴, 𝗮𝗻𝗱 𝗺𝗲𝗺𝗼𝗿𝘆. Let's break them down: 1️⃣ 𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 – the assistant should know you, your role, and your company. A biotech company and a fintech startup don't speak the same language. The assistant should adjust accordingly—not just at the company level (industry terms, brand voice, internal acronyms) but also at the user level (understanding your role and how you work). The more tailored the responses, the more useful they are. 2️⃣ 𝗥𝗲𝘁𝗿𝗶𝗲𝘃𝗮𝗹 – the assistant needs access to your company's actual knowledge, not just internet data. LLMs are trained on general web data, which is often outdated and lacks your company's specific info. Retrieval techniques like RAG solve this by letting the assistant pull real-time data from internal sources—docs, emails, wikis, Slack messages—so responses are accurate and grounded in company knowledge. 3️⃣ 𝗥𝗮𝗻𝗸𝗶𝗻𝗴 – not all information is equally useful. A single search could pull up dozens of results. The assistant needs to prioritize the right ones based on relevance, authority, freshness, and historical context. Otherwise, it's just noise. Good ranking ensures it serves up the most important, up-to-date info first. Historically, this has been the biggest challenge in workplace search. Recent advancements in LLMs have made this a lot more tractable. 4️⃣ 𝗠𝗲𝗺𝗼𝗿𝘆 & 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 – the assistant should remember and improve over time. Right now, most AI chatbots forget everything as soon as a session resets. But in a business setting, the assistant should remember critical details, learn from corrections, and improve over time—just like a human colleague would. The real power comes when all four of these work together: ✅ Personalization makes it speak your language. ✅ Retrieval ensures it has the right facts. ✅ Ranking filters out the noise. ✅ Memory helps it improve over time. Without these, you get yet another generic chatbot, but with these in place, it becomes a truly useful work assistant!

🚀 𝗗𝗮𝘀𝗵𝘄𝗼𝗿𝗸𝘀 𝗻𝗼𝘄 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲𝘀 𝘄𝗶𝘁𝗵 𝗭𝗮𝗽𝗶𝗲𝗿 We’ve been blown away by the use of our public APIs launched three months ago, and now we’re making it even easier to 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄𝘀 𝗮𝗻𝗱 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝗗𝗮𝘀𝗵𝘄𝗼𝗿𝗸𝘀 𝘄𝗶𝘁𝗵 𝘁𝗵𝗼𝘂𝘀𝗮𝗻𝗱𝘀 𝗼𝗳 𝗮𝗽𝗽𝘀—no coding required. Here are just a few ways you can put our new Zapier integration to work: 1️⃣ Answer API: ✅ 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰𝗮𝗹𝗹𝘆 𝗿𝗲𝘀𝗽𝗼𝗻𝗱 𝘁𝗼 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝘁𝗶𝗰𝗸𝗲𝘁𝘀 – Instantly surface relevant knowledge base articles, past tickets, and troubleshooting guides when a new support request comes in. ✅ 𝗘𝗻𝗿𝗶𝗰𝗵 𝗼𝗻-𝗰𝗮𝗹𝗹 𝗮𝗻𝗱 𝗵𝗶𝗴𝗵 𝗽𝗿𝗶𝗼𝗿𝗶𝘁𝘆 𝗯𝘂𝗴s – When a high-priority bug is logged in Jira, Dashworks can automatically pull in related incidents, code snippets, and troubleshooting docs—giving engineers a head start on fixing the issue. ✅ 𝗗𝗮𝗶𝗹𝘆 𝗯𝗿𝗶𝗲𝗳𝗶𝗻𝗴𝘀 𝗼𝗻 𝗱𝗲𝗮𝗹𝘀– Dashworks can auto-generate briefings with competitive insights, product FAQs, and relevant case studies—so reps walk into meetings fully prepped and ready to close. ✅ 𝗙𝗶𝗹𝗹 𝗼𝘂𝘁 𝗥𝗙𝗣𝘀 – Tired of copy-pasting answers from old security questionnaires? Dashworks can auto-fill RFPs by pulling the best responses from your knowledge base, saving hours of manual work. 2️⃣ Connector API: ✅ 𝗔𝘂𝘁𝗼-𝘀𝘆𝗻𝗰 𝗻𝗲𝘄 𝗰𝗼𝗻𝘁𝗲𝗻𝘁 – Have an app that Dashworks doesn’t natively support? No problem. With Zapier, you can connect Dashworks to 7,000+ integrations and ensure your team always has access to the latest info. With Zapier + Dashworks, the possibilities are truly endless. 𝗪𝗵𝗮𝘁 𝘄𝗶𝗹𝗹 𝘆𝗼𝘂 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲 𝗳𝗶𝗿𝘀𝘁?

With LLMs, we’re getting closer to a world where AI just *gets* what we mean, no matter how we phrase it. But today? The way you structure your question still makes a difference in the quality of the response. At Dashworks, we've seen firsthand how a well-structured question can turn into something truly insightful. Here's a simple framework to help you get the best results: 1️⃣ 𝗦𝘁𝗮𝗿𝘁 𝘄𝗶𝘁𝗵 𝘁𝗵𝗲 𝘁𝗮𝘀𝗸: ask it to answer a direct question, find some docs, fix a bug, summarize notes, write an email, rephrase content for clarity, or more. 2️⃣ 𝗣𝗿𝗼𝘃𝗶𝗱𝗲 𝘀𝗼𝗺𝗲 𝗯𝗮𝗰𝗸𝗴𝗿𝗼𝘂𝗻𝗱: provide background on what this task is for as this can help Dashworks look for related information and focus the response on the key points based on the context. 3️⃣ 𝗦𝗽𝗲𝗰𝗶𝗳𝘆 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗳𝗼𝗿𝗺𝗮𝘁: state the tone you want (ex. professional email, casual message), the response length (ex. short answer, one pager, report with max 3 paragraphs), and structure (blog outline, X thread, bulleted list). 4️⃣ 𝗙𝗼𝗰𝘂𝘀 𝘁𝗵𝗲 𝘀𝗲𝗮𝗿𝗰𝗵: mention specific app names to search or specific files, folders, or project names in them. Here’s an example: 🟡 Instead of "tell me about our AWS migration" 🟢 Try this: "Can you give me a detailed overview of the AWS to GCP migration project that the Infra team worked on last year? This will be helpful to plan for 2025 OKRs. I'm looking for their motivations, the key people involved, learnings, and follow ups.” Check out some more before / after examples in the prompt guide below👇 And the good news? Dashworks is designed to help bridge this gap—understanding your intent even when your question isn’t perfectly structured. But until AI reaches mind-reading levels, a little prompting finesse goes a long way!

⚡️ 𝗗𝗮𝘀𝗵𝘄𝗼𝗿𝗸𝘀 𝗡𝗼𝘄 𝗦𝗲𝗮𝗿𝗰𝗵𝗲𝘀 𝗥𝗲𝗮𝗱𝗠𝗲 ReadMe is a leading API documentation platform, helping developers and companies manage and share their APIs. From early-stage startups to Fortune 500, 6,000+ businesses around the world trust ReadMe to power their developer hubs, including industry leaders such as Gusto, OneTrust, Akamai Technologies, Baremetrics, Heap | by Contentsquare, Doppler, and Clever Inc. Needless to say, we’re excited to bring the power of ReadMe’s documentation to Dashworks alongside your organization’s entire knowledge. Quickly get answers from developer docs and API specs - whether you’re a 𝘁𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 𝗲𝗻𝗴𝗶𝗻𝗲𝗲𝗿 responding to a customer’s question, an 𝗼𝗻-𝗰𝗮𝗹𝗹 𝗺𝗮𝗻𝗮𝗴𝗲𝗿 debugging an issue, or a 𝗻𝗲𝘄 𝗵𝗶𝗿𝗲 getting up to speed. 𝗧𝗵𝗲 𝗯𝗲𝘀𝘁 𝗽𝗮𝗿𝘁? Setup takes just seconds - connect it from the App Store in a few clicks and start asking it questions.

How does Dashworks help you create a 𝘀𝗶𝗻𝗴𝗹𝗲 𝗽𝗼𝗶𝗻𝘁 𝗼𝗳 𝗲𝗻𝘁𝗿𝘆 for your company’s knowledge? Here are all the knowledge sources you can unify with Dashworks: 1️⃣ 𝗔𝗹𝗹 𝗬𝗼𝘂𝗿 𝗪𝗼𝗿𝗸 𝗔𝗽𝗽𝘀 Dashworks connects with 60+ tools, so you can instantly find answers across: 📄 Wikis & Docs: Google Drive, Confluence, Notion, Dropbox, Box, Coda, ReadMe, GitBook, Document360, Guru, Helpjuice, Docusign, Quip, Slab, Wrike 💬 Communication: Slack, Gmail, MS Teams, Outlook, Stack Overflow for Teams 🤝 Support: Zendesk, Intercom, ServiceNow, Help Scout, Front 📊 CRM: Salesforce, HubSpot, Pipedrive, Attio, Zoho CRM 🎨 Design: Figma, Lucidchart, Miro, Mural 📈 Project management: Jira, Linear, Asana, Productboard, Trello, Smartsheet, Aha!, Zoho Projects 🌐 Intranet: Google Sites, SharePoint, Simpplr 💼 HRIS: Workday, Gusto, HiBob, Paylocity, Darwinbox, BambooHR 🗓️ Calendar: Google Calendar 💻 Code: GitHub, GitLab, Bitbucket 2️⃣ 𝗪𝗲𝗯 𝗦𝗲𝗮𝗿𝗰𝗵 Dashworks doesn't just search internal knowledge - it can also pull in real-time information from the web - searching the latest news, industry insights, customer info, and more. 3️⃣ 𝗖𝘂𝘀𝘁𝗼𝗺 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 Build your own integrations to connect internal tools or databases. Perfect for teams wanting to expand their knowledge sources beyond out-of-the-box integrations 4️⃣ 𝗗𝗶𝗿𝗲𝗰𝘁 𝗙𝗶𝗹𝗲 𝗨𝗽𝗹𝗼𝗮𝗱𝘀 Admins can upload files in all the common formats, making them instantly searchable org-wide. 5️⃣ 𝗩𝗲𝗿𝗶𝗳𝗶𝗲𝗱 𝗔𝗻𝘀𝘄𝗲𝗿𝘀 Create custom responses for FAQs to ensure consistent, accurate information across your organization. 𝗧𝗵𝗲 𝗯𝗲𝘀𝘁 𝗽𝗮𝗿𝘁? Setup takes less than 10 minutes - just connect the sources and let Dashworks handle the rest!

We often talk about technical debt in software teams, but have you ever considered 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗱𝗲𝗯𝘁? 👀 It’s the hidden cost of undocumented or inaccessible know-how in a growing company. In my experience, teams feel this pain daily, even if they don't have a name for it. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗗𝗲𝗯𝘁? Knowledge debt is the backlog of important information that hasn’t been documented or shared widely. At first, a little tribal knowledge might seem harmless—everyone just asks Alice for deployment steps or Bob for tricky client questions. But that ends when Alice is on vacation or Bob leaves. Just like technical debt, knowledge debt accumulates "interest." Every time we postpone writing a how-to guide or skip recording the "why" behind a decision, we create knowledge debt by borrowing against future productivity. Rushing a project without docs is like a short term hack in code—it works for now but leaves everyone struggling later. 𝗧𝗵𝗲 𝗜𝗺𝗽𝗮𝗰𝘁 𝗼𝗳 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗗𝗲𝗯𝘁 ❌ 𝗪𝗮𝘀𝘁𝗲𝗱 𝘁𝗶𝗺𝗲 𝘀𝗲𝗮𝗿𝗰𝗵𝗶𝗻𝗴: We lose around 1.8 hours a day searching for info—nearly a full day per week even for a small team! ❌ 𝗢𝗻𝗯𝗼𝗮𝗿𝗱𝗶𝗻𝗴 𝗰𝘂𝗿𝘃𝗲: Relying on “ask Joe” for information slows down onboarding, estimated to cost companies millions in lost productivity. ❌ 𝗗𝗲𝗹𝗮𝘆𝗲𝗱 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀: When information is hard to find, decisions come to a stall. 68% of companies face project delays from missing info. ❌ 𝗥𝗲𝗶𝗻𝘃𝗲𝗻𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝘄𝗵𝗲𝗲𝗹: Nearly 59% of R&D and product teams later discover the expertise or project they recreated already existed within their company. ❌ 𝗙𝗿𝘂𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗰𝗵𝘂𝗿𝗻: 81% of employees feel frustrated when they can’t access the info needed to do their jobs, which can erode morale and push talent to leave. 𝗧𝘂𝗿𝗻𝗶𝗻𝗴 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗗𝗲𝗯𝘁 𝗶𝗻𝘁𝗼 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗖𝗮𝗽𝗶𝘁𝗮𝗹 ✅ 𝗖𝘂𝗹𝘁𝗶𝘃𝗮𝘁𝗲 𝗮 𝗱𝗼𝗰𝘂𝗺𝗲𝗻𝘁𝗮𝘁𝗶𝗼𝗻 𝗰𝘂𝗹𝘁𝘂𝗿𝗲: Use internal wikis or docs and lead by example—record key decisions and insights. ✅ 𝗕𝗿𝗲𝗮𝗸 𝗱𝗼𝘄𝗻 𝘀𝗶𝗹𝗼𝘀: Host brownbag sessions, circulate newsletters, and rotate team members across projects to share knowledge. ✅ 𝗠𝗲𝗻𝘁𝗼𝗿𝘀𝗵𝗶𝗽: Pair newcomers with veterans to transfer implicit undocumented knowledge. ✅ 𝗧𝗿𝗲𝗮𝘁 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗮𝘀 𝗮𝗻 𝗮𝘀𝘀𝗲𝘁: Designate “knowledge champions” or host Documentation Days to regularly “pay down” your debt. This pays off not only with the team, but also with the coming of AI agents who can utilize this knowledge to reliably and accurately get things done. ✅ 𝗠𝗮𝗸𝗲 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝘀𝗲𝗮𝗿𝗰𝗵𝗮𝗯𝗹𝗲: Invest in tools that unify scattered information. Paying off knowledge debt turns a liability into an asset. When your team's know-how is documented and accessible, you build 𝗞𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗖𝗮𝗽𝗶𝘁𝗮𝗹! New hires get up to speed faster, teams feel unblocked to do their best work, and learnings compound across projects.

Product managers spend hours every week answering the same questions, searching for past decisions, and summarizing feedback. What if you could get that time back? PMs using Dashworks report saving 𝟓+ 𝐡𝐨𝐮𝐫𝐬 𝐩𝐞𝐫 𝐰𝐞𝐞𝐤—time that’s better spent on strategy. Here’s how: 🔎 𝐈𝐧𝐬𝐭𝐚𝐧𝐭 𝐚𝐧𝐬𝐰𝐞𝐫𝐬 𝐭𝐨 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐪𝐮𝐞𝐬𝐭𝐢𝐨𝐧𝐬 Instead of digging through docs, conversations, and tickets, PMs get immediate answers about features, integrations, and pricing. 📣 𝐒𝐲𝐧𝐭𝐡𝐞𝐬𝐢𝐳𝐢𝐧𝐠 𝐜𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤 Dashworks pulls insights from support tickets, product surveys, emails, Slack conversations, CRM notes, and more—helping you spot trends and prioritize what matters most. ✍️ 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐭𝐡𝐚𝐭 𝐰𝐫𝐢𝐭𝐞𝐬 𝐢𝐭𝐬𝐞𝐥𝐟 PMs use Dashworks to draft RFCs, release notes, and product docs in seconds—ensuring consistency across all materials. Here are the top knowledge sources to connect with Dashworks if you’re a PM: - 𝐖𝐢𝐤𝐢𝐬 & 𝐃𝐨𝐜𝐬: Google Drive, Notion, Dropbox, Confluence, GitBook, OneDrive - 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭: Jira, Linear, Asana - 𝐌𝐞𝐬𝐬𝐚𝐠𝐢𝐧𝐠: Slack or Microsoft Teams - 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐭𝐨𝐨𝐥𝐬: Zendesk, Intercom, Front - 𝐂𝐚𝐥𝐥 𝐭𝐫𝐚𝐧𝐬𝐜𝐫𝐢𝐩𝐭𝐬: Gong - 𝐄𝐦𝐚𝐢𝐥: Google Mail or Microsoft Outlooks - 𝐂𝐑𝐌: Salesforce, HubSpot - 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐟𝐞𝐞𝐝𝐛𝐚𝐜𝐤: Productboard - 𝐃𝐞𝐬𝐢𝐠𝐧: Figma, Miro - 𝐂𝐨𝐝𝐞 𝐫𝐞𝐩𝐨𝐬: GitHub, GitLab, Bitbucket (surprisingly effective to answer product questions directly from the code base, Readme files, or pull requests!) If you’re interested in learning about specific prompts to use, check out the guide in the comments!