Productivity Apps

A market map with 10,000 companies is impossible to prioritize. These are the 300 to know. I was a VP of Product in sales tech. And I was frustrated with the maps I found. So I've been studying the space and speaking with experts. Here's the players you need to know: — ONE - Core: Revenue Operating System This is your CRM, your system of record - where your sales operation begins. I break this into 3 segments: Enterprise Platforms → Built for large organizations with complex workflows and high-volume deals → Salesforce, Oracle, Microsoft Dynamics 365, SAP Growth-Stage Solutions → Designed for growing businesses that need scalable tools but with flexibility to adapt → HubSpot, Pipedrive, Zoho CRM, SugarCRM Modern CRMs → Startups and fast-scaling companies looking to move fast without rigid systems rely on modern CRMs. → Attio, Affinity, Close.io, Copper, Freshsales. — LAYER TWO - Engagement & Intelligence These tools power outbound outreach, automate sequences, and provide real-time data on prospects: → Outreach, Salesloft, VanillaSoft, Groove Engagement tools ensure your team hits the right prospect at the right time. — LAYER THREE - Revenue Acceleration These platforms shorten deal cycles: → Gong, Salesloft, Chorus.ai, Ebsta With real-time feedback and actionable insights... — LAYER FOUR - Data & Enrichment Your outreach is only as good as the data backing it. These platforms ensure you’re reaching out to right prospects. → ZoomInfo, Apollo.io, Clearbit, Lusha, Hunter io, Cognism — SATELLITE CLUSTERS - Modern GTM Stack These tools enhance parts of the GTM journey. AI-Enhanced Tools → Automate and personalize content creation at scale. → Writer, Grammarly, CopyAI, Jasper Product-Led Motion → Identify sales-ready leads through product engagement. → Pocus, Intercom, Breyta Sales Enablement → Equip sales teams with training, resources, and playbooks to perform at their best. → Seismic, Spekit, Allego Conversational GTM → Convert prospects directly through real-time chat. → Drift (now part of Salesloft) — SATELLITE CLUSTERS- Emerging Categories These are adjacent categories sales teams often still use. Product Analytics → Track user behaviors post-sale for better upsell and retention opportunities. → Amplitude, Mixpanel Customer Success → Ensure long-term customer retention and success beyond the initial sale. → Gainsight, Catalyst, Totango Workspace Integration → Enable seamless collaboration across sales and operations. → Notion, Slack, Airtable, monday.com Revenue Orchestration → Connect workflows across different systems to streamline revenue operations. → NektarAI, Tray.io, Workato, Boomi — This took a lot of time. Reshare ♻️ if you loved this post. What tools would you add?

I'm back from the Salesforce #AgentforceTour in NYC and here are the top 3 things I learned: #sponsored 1. Canada Goose is showing what agentic retail actually looks like. Canada Goose used Agentforce Service to automate 89% of their routine service tasks. When a customer calls in, the agent already knows who she is and what order she's calling about based on her customer profile. Here's how they do it: Salesforce 360 connects all of the data (orders, preferences, history) so the agent can process the return, send the label to WhatsApp, and hand it off to a human stylist at EXACTLY the right moment. Voice-first, fully connected, and seamless. This is what makes the difference between a chatbot that answers questions and an agent that gets things done. The AI is connected to the ACTUAL data. 2. Agentforce Operations is a big deal. I sat in on a session with Sanjna Parulekar from Salesforce where she talked about the recent launch of Agentforce Operations. Instead of architecting an agent for an experience, you apply agents to an existing process. Teams are now empowered to actually fix workflows in the back office, finance ops, supply chain, and more. 3. Tokens are NOT always the right measure of value. Salesforce launched a new metric called "Agent Work Units" because you can burn a million tokens and create zero business outcome. Sometimes it makes sense for agents to skip the LLM entirely and just run the workflow. That's where the real efficiency and cost savings come in. At #AgentforceTour in NYC, one thing was clear: It's no longer humans vs. agents. It's humans collaborating WITH agents. #SalesforcePartner

TRUE STORY: A trusted developer embedded a "kill switch" that locked out thousands of corporate users worldwide—triggered the moment his credentials were revoked. The cost? Hundreds of thousands in damages. The lesson? Insider threats from privileged users are real, and they’re escalating. 🧾 Case Summary In August 2025, Davis Lu, a former software developer at large corporation, was sentenced to four years in federal prison for deploying malicious code across his employer’s network. See https://lnkd.in/edJggBKu. After a corporate restructuring reduced his access, Lu planted sabotage scripts including a “kill switch” that activated when his account was disabled. The code crashed servers, deleted coworker profiles, and locked out thousands of users globally. His actions caused extensive disruption and financial loss, and his digital footprint revealed deliberate planning to evade detection. ✅ Help Prevent Cyber Sabotage from a Privileged Insider 1. Implement Role-Based Access Controls (RBAC) Limit access to sensitive systems based on job function. No single employee should hold unchecked privileges. 2. Conduct Regular Privilege Audits Regularly review who has elevated access—and why. Remove dormant or unnecessary accounts promptly. Such reviews should ideally take place at least quarterly. 3. Monitor for Anomalous Behavior Use behavioral analytics to flag unusual activity like privilege escalation, mass deletions, or off-hours access. 4. Enforce Code Review and Change Management Require peer review and approval for all code deployments, especially in production environments. 5. Deploy Insider Threat Detection Tools Invest in platforms that correlate user behavior, access logs, and system changes to identify risks early. 6. Establish a Clear Offboarding Protocol Disable access in a controlled sequence. Monitor systems closely during and after termination events. 7. Encrypt and Log Developer Actions Maintain immutable logs of code changes and admin actions. Encryption helps ensure integrity; logging helps ensure accountability. 8. Foster a Culture of Transparency and Respect Many insider threats stem from resentment or perceived injustice. Proactive communication and fair treatment matter. 9. Engage Legal and Cyber Teams Early Legal counsel should be looped in on high-risk terminations, especially those involving privileged users. 10. Build Relationships with Law Enforcement The FBI encourages proactive engagement to mitigate insider threats. Don’t wait until it’s too late. What other recommendations would you add? Please feel free to include in the comments.

I really believe that, as a Power Platform Solution Architect, choosing the right automation/integration tool can be one of the most important decisions you have to make. Most of the time, the default is Power Automate. It's fast, it's low-code, and the M365 integration makes it feel like the obvious choice. For a huge chunk of department-level automation, it genuinely is. But if you pick Power Automate for a workflow that needs to run 50,000 times a day, you're going to hit throttling, licensing headaches, and performance ceilings that force a rebuild 12 months in. (and rebuilds are never cheap). Logic Apps is where you go when you need scale. Pay-per-execution, Git integration, native to Azure. Built for the enterprise side of the house. And then we have Azure Functions. When the logic is complex or you need control over performance and dependencies, that's where writing code earns its place. So the question isn't "which one is best". The real question is: what is this specific workload optimising for - speed of delivery, scale, cost, control, or integration depth? Once you can answer that, the tool picks itself. I built this cheat sheet to make that call a bit easier, so keep it handy. 💌 And if you want the hi-res version alongside 100's of other resources, you can download it here for free: https://lnkd.in/gsKBUaM7 #PowerPlatform #PowerAutomate #AzureLogicApps #AzureFunctions #SolutionArchitect

How tech companies are saving 10+ hours a week (with these 6 simple Salesforce automations): Companies waste hours every week on tasks that should be automated. They lose time in ways no one even notices: • Clicking through screens • Manually updating fields • Logging calls by hand Each task seems small. But together, they slow everything down. Here are 6 Salesforce automations that save tech companies 10+ hours every week: 1) Data entry and lead enrichment Manual data entry slows everyone down. New leads are auto-enriched with: • Company info • Contact details • Other relevant data No typing required. That means sales can sell, marketing gets clean data, and RevOps stops fixing spreadsheets. 2) Lead management and routing Without automation, leads sit in limbo. Sales and marketing waste time figuring out ownership. So we automated lead assignment, marketing handoffs, and customer success escalations. Now everyone knows exactly where a lead belongs. No confusion. No delays. 3) Automated follow-ups, demos, and approvals If teams rely on memory for follow-ups, deals get lost. We trigger automated task reminders when key actions happen. • A new lead comes in • A demo is booked • A proposal goes out Teams get notified automatically. No more missed follow-ups. No bottlenecks. 4) Proposal, contract, and quote generation Teams shouldn’t waste time building proposals, contracts, or quotes manually. We automate it. Pre-built templates pull in Salesforce data: • Proposals are ready in minutes • Contracts auto-route for approval • No chasing down managers Faster contracts = faster deals = faster revenue. 5) Automated email and activity tracking If it’s not logged, it didn’t happen. But teams forget to log emails, calls, and meetings. So we integrate Salesforce with Outreach, Gong, and Slack to log everything automatically. Now leadership gets full visibility into: • Emails sent • Calls made • Customer responses No manual tracking required. 6) Real-time reporting and forecasting Leaders can’t make smart decisions without real-time data. So we build dashboards that track: • Pipeline health • Deal stages • Team activity Better visibility = faster, smarter decisions. The Bottom Line: Manual processes, bad data, and disconnected tools are slowing you down. We help tech companies fix this—fast. If Salesforce feels like more work than it should be, let’s change that. DM me "Salesforce" and let’s talk.

I had a full founder moment reading this… like are we really here already? 😅 The agent is already inside the building. Not maybe. Not soon. Already. And as a builder, that hits differently. Because we’re not just reading research—we’re literally building these systems right now. High: this is incredible technology. Low: we are absolutely underprepared. Oh la la: we’re deploying agents we can’t fully control. That emotional rollercoaster is real. But here’s the thing… research is great. Stats are great. Scary stories are "great". But as founders, we don’t get paid to be scared. We get paid to build responsibly anyway. So the real question is: How do you actually implement governance without killing velocity? Here’s how I’m thinking about it 👇 1️⃣ Stop treating governance like a policy doc—make it architecture Most teams start with “we need AI policies.” Great. Nobody reads them. And agents definitely don’t. Governance only works if it’s enforced by the system itself. That means access control, permissions, and constraints are built into how data flows—not written in a doc somewhere. If your governance can be bypassed by a prompt… it’s not governance. 2️⃣ Use least privilege + task-scoped access (this is the one you were thinking of) Give agents only the minimum access they need, for a specific task, for a limited time. Not blanket access to a system. Not “read everything in this folder.” This is classic least privilege combined with just-in-time (JIT) access and task-based permissions. If the agent is generating a report, it gets access to only the data required for that report—nothing more, nothing persistent. When the task is done, access is gone. No leftovers. 3️⃣ Give agents guardrails where it matters—at the moment of action We don’t need to block everything (that kills innovation). But we do need to control critical actions. Reading sensitive data. Moving files. Triggering workflows. That’s where enforcement lives. Think of it like parenting a very smart toddler—you don’t stop them from exploring, but you absolutely lock the dangerous cabinets. 4️⃣ Make “what happened” answerable in minutes, not days If something goes wrong—and it will—you need instant clarity. Who did what? What data was touched? Was it allowed? If your answer is “we need to investigate”… you’re already behind. Builders need systems where accountability is automatic, not forensic. And here’s my honest founder take: We are all building faster than governance is maturing. That’s just reality. But the winners won’t be the ones who slow down. They’ll be the ones who build governance into the speed. Because agents are not "tools" anymore. They are actors inside your tools. And once they’re inside… you don’t get to pretend you’re still in control. You need to build for control. #Kiteworks

📦 JOBS-LED PRICING CANVAS™ A 10-step framework for transforming feature-led products into monetization-ready, jobs-based pricing models. Built on 4 stages: 1. Product (Discovery Layer) 2. Value (Logic Layer) 3. Customer (Preference Layer) 4. Pricing (Monetization Layer) 🔹 STAGE 1: PRODUCT [Discovery Layer] 🔹 Step 1: Feature Inventory What it is: ▪️ List every feature, tool, and function in the product
▪️ Include hidden, premium, or internal-use features Why it matters: ▪️ Creates a complete picture of what’s being delivered
▪️ Prevents missing monetizable elements 🔹 Step 2: Feature to Plan Mapping What it is: ▪️ Show how features are bundled into pricing plans today
▪️ Expose arbitrary or legacy packaging logic Why it matters: ▪️ Reveals pricing misalignment with value
▪️ Highlights over- or under-incentivized plans 🔹 Step 3: Feature Usage Mapping What it is: ▪️ Track actual customer usage of each feature
▪️ Look for engagement patterns by segment Why it matters: ▪️ Identifies “dead weight” vs “core value” features
▪️ Helps assess ROI per feature 🧠 STAGE 2: VALUE [Logic Layer] 🔹 Step 4: Feature Valuation What it is: ▪️ Qualitatively or quantitatively assign value to each feature
▪️ Use proxies: time saved, revenue unlocked, cost reduced Why it matters: ▪️ Establishes which features are worth monetizing
▪️ Anchors the price-to-value logic 🔹 Step 5: Jobs Identification What it is: ▪️ Identify core Jobs-To-Be-Done (JTBD) your product enables
▪️ Use user interviews, surveys, task analysis Why it matters: ▪️ Shifts the model from features to outcomes
▪️ Connects monetization to customer success 🔹 Step 6: Feature–Jobs Mapping What it is: ▪️ Map each feature to one or more customer Jobs
▪️ Create a logic layer: feature → outcome → value Why it matters: ▪️ Bridges product design with pricing strategy
▪️ Enables bundling and upsell opportunities around outcomes 🎯 STAGE 3: CUSTOMER [Preference Layer] 🔹 Step 7: Rank Jobs What it is: ▪️ Prioritize Jobs by importance and frequency
▪️ Use customer feedback and behavior data Why it matters: ▪️ Surfaces which outcomes matter most
▪️ Enables tiering or segmentation logic 🔹 Step 8: Value Jobs What it is: ▪️ Quantify perceived value of each Job
▪️ Use surveys, conjoint analysis, BWS, or proxies Why it matters: ▪️ Links value perception to potential willingness to pay
▪️ Avoids feature-based pricing traps 💰 STAGE 4: PRICING [Monetization Layer] 🔹 Step 9: Value Capture [%] Analysis What it is: ▪️ Decide what % of value created you can capture
▪️ Compare to industry benchmarks or strategic posture Why it matters: ▪️ Sets pricing defensibility
▪️ Avoids overcharging or leaving money on the table 🔹 Step 10: Pricing Metric / Model What it is: ▪️ Choose pricing metric: per seat, usage, credits, % of revenue, hybrid
▪️ Align it to how value is delivered + Jobs solved Why it matters: ▪️ Ensures pricing scales with value
▪️ Sets the business up for sustainable revenue growth #Pricing

One platform. Big shift in how I manage distributed teams. As founders, our to-do lists never end. Context-switching is constant. And deep work? Rare, especially when managing remote teams across time zones. I used to juggle tools: 👉 Jira for tasks 👉 Slack for communication 👉 Google Drive for docs 👉 Invoicing tools 👉 Capterra & G2 for product research Each one solved a piece of the puzzle. But together? They created friction. They slowed me down. That’s when we built our own answer: a 𝐕𝐢𝐫𝐭𝐮𝐚𝐥 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐂𝐞𝐧𝐭𝐞𝐫. 💡 What changed with AiDOOS VDC? ↳ Everything under one roof, from project boards to document sharing ↳ No more hopping between 5 tools just to close one task ↳ Communication, collaboration, delivery, fully integrated Result? → Less tool fatigue → More focus → Teams in sync, even across borders, right from our VDC in 𝐒𝐚𝐧 𝐅𝐫𝐚𝐧𝐜𝐢𝐬𝐜𝐨 But the real win? - It’s not just about tool consolidation. - It’s about reclaiming mental bandwidth. - The fewer micro-decisions we make each day, the more we focus on building. Lesson? 𝐏𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 𝐢𝐬𝐧’𝐭 𝐚𝐛𝐨𝐮𝐭 𝐦𝐨𝐫𝐞 𝐭𝐨𝐨𝐥𝐬. 𝐈𝐭’𝐬 𝐚𝐛𝐨𝐮𝐭 𝐨𝐧𝐞 𝐮𝐧𝐢𝐟𝐢𝐞𝐝 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰. If you're a founder or CTO managing distributed delivery, don’t just stack tools. Build a Virtual Delivery Center. That’s what AiDOOS is. ♻ Repost to help someone build smarter, not just harder. 💡 Follow Krishna for real-world insights on distributed teams, smart workflows, and founder-first execution.    📌 30+ Founders & CTOs use AIDOOS to stay lean, fast, and focused on what matters most. #VirtualDeliveryCenter #AIDOOS #RemoteWork #WorkflowOptimization #TechLeadership #ProductivityTools #StartupLife #FoundersJourney #BuildSmart #SKVReddy #SanFrancisco

BPM and Process Intelligence are delivering tangible results for large organisations. Platforms like ARIS align strategy to operations, surface friction in core journeys, and help teams act with confidence. A Forrester total economic impact report showed a 301% ROI over three years, with $7.9m in quantified benefits and $5.9m NPV across studied organisations. Programmes are set up around 40% quicker, so value is recognised sooner. Minutes saved per employee each day compound into millions in unutilised resource capacity. Rationalised tooling and process standardisation cut legacy infrastructure costs by about 30%. Stronger risk and compliance. Control monitoring reduces exposure to fines and speeds audits. Treat processes as enterprise assets, apply Process Intelligence to make them transparent and optimised, and you unlock growth, resilience, and sustained efficiency.

Digital transformation doesn’t break at go-live. It breaks weeks before — when access control is an afterthought. Rule 4 – Set Access Before Rollout Access control is not a technical detail : it’s governance, security, and trust!  Every migration, rollout, or new workflow should define who sees what, who does what, and who decides what before configuration starts. Here’s what strong access governance looks like: ① Define access by design ⇒ Map permissions early ⇒ Identify data owners ⇒ Classify information (public, internal, restricted, confidential) ② Assign owners, not admins ⇒ Admins execute & Owners decide ③ Align permissions with processes ⇒ Roles must match workflows, not org charts ④ Automate reviews Access evolves [Quarterly reviews prevent silent privilege creep] 💥 The biggest mistake? Rolling out tools before defining access — and discovering too late that everyone can see everything… or no one can see anything! Access is not about restriction : It’s about clarity, security, and predictability! 💬 What’s the biggest access challenge you’ve seen in a digital project?