
641. Lauri Euren, Operating.app: An AI-powered platform to run a consulting firm from resource planning to month-end close
Unleashed - How to Thrive as an Independent ProfessionalShow Notes
Show Notes: Lauri Euren, founder of Operating.app, explains that Operating is a tool for consulting firms or professional services that are growing and need help with staffing, internal resourcing, and month-end closes. The tool handles the workflow from time sheets to invoicing, supporting delivery across multiple projects. Operating.app Explained Lauri emphasizes that Operating is not a CRM system and can integrate with existing CRMs like Salesforce, HubSpot, and Pipedrive. Lauri explains that Operating is not for actual sales execution but for back-end processes like staffing, time sheets, and invoicing. The tool also monitors project health, margins, and financials, providing tracking and insights into project burn rates and utilization. Operating.app Demonstration Lauri demonstrates the main dashboard, which includes tabs for staffing, personal schedules, projects, and reports. Lauri describes the main entities in Operating: projects, people, and positions, and how they intersect to manage staffing and project assignments. Lauri explains the different sections and their functions.
The dashboard includes pinned views for saved and shared views, time sheets for tracking hours, and various reporting options. Lauri highlights the importance of tailoring the use of Operating to different roles within the organization, such as consultants, COOs, and staffing managers.
The invoicing feature generates invoices based on the invoicing schedule and billing type of the project. When saved, the invoice saves automatically to the accounting software used.
Lauri explains that projects often come from CRMs like HubSpot or Salesforce and are enriched with metadata using AI tools like Copilot or GPT using the Operating MCP server and AI tools like Claude, ChatGPT, Gemini or Microsoft Copilot. Operating can handle different pricing structures, including per hour and fixed price models, and can model various types of work within the fixed price model.
Planned vs Forecast Revenue
Revenue Recognition The tool also includes revenue recognition features, allowing finance teams to track and recognize revenue accurately. Lauri mentions that Operating integrates with accounting tools like QuickBooks or NetSuite for billing and financial management. Clients Operating Serves Lauri discusses the ideal client size for Operating, typically starting from 10 people and scaling up to large firms with hundreds of consultants. The tool replaces spreadsheets and other point solutions for time tracking and resource planning. Lauri explains how Operating handles external consultants, tagging them differently in the system and managing their permissions and utilization. The tool allows for robust customization of permissions, ensuring that each user sees and edits only what they are allowed to. Managing a Project in Operating Lauri explains the end-to-end process of managing a project in Operating, from staffing to invoicing.
The process includes adding a project, allocating team members, setting budgets, and tracking time sheets. Operating provides real-time profitability calculations and margin effects for projects. The tool allows for the creation of invoices based on time entries and integrates with accounting tools for final billing. AI Integration with Operation Lauri highlights the AI integration with tools like Claude, allowing users to query and manage projects using natural language. The MCP server in Operating acts as an AI agent, consuming data and executing queries based on user permissions. Customers can build automated tasks and health checkers using Cloud Code and AI, enhancing efficiency and accuracy. The tool's flexibility and customization options make it suitable for various roles and project management needs. Pricing Model Lauri explains the current pricing model for Operating, which is $22 per person per month for the full module and $11-$13 for individual modules. The tool is designed to be more affordable th
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Show Notes Ben Garthwaite introduces Pegasus Insights. He explains why his firm developed the tool and who it serves. Pegasus is a software tool designed to improve the traditional 13-week cash flow forecasting process. The tool targets middle-market companies and private equity-backed firms looking to improve accuracy and save time, and give better insights on their business on a weekly or daily basis. Pegasus has worked with various sizes of companies from multi-nationals to one-man real estate businesses. It revolutionizes the reporting process, and Ben explains that while 13-week models are common in distressed companies, consistent financial snapshots are vital for any business.
Waziri Garuba, creator of G.R.I.O.T and CEO of HarlemLabs, talks about how he was inspired by the limitations of Siri and where the name for his custom AI persona, G.R.I.O.T, comes from. He integrates several platforms including n8n.io, 11 Labs, Vercel, and it can be integrated with an LLM of choice, including Claude. The system operates using an agentic workflow where a central brain assesses inputs via webhooks. Incoming queries are classified into four categories: direct, tools, complex, or schedule-based to determine the appropriate routing. He explains how his agent can talk to the platforms.
Jean-Christophe Lanoix is the founder of Turboconsultant. He spent seventeen years at Hinicio, a strategy consultancy specialising in hydrogen — joining as an intern, rising to Associate Director and leaving in 2024, two years after the firm's exit. He now builds the system he wishes he had had. Introducing Turboconsultant An execution layer for solo consultants: a virtual team of AI agents spanning the whole practice — business development, research, methodologies, marketing and content, deliverable production, quality control, meetings and follow-up, admin. The consultant directs. The agents execute. It installs as a plugin on Claude Cowork and turns a generalist agentic workspace into a consulting-grade one. Three things separate it from a general-purpose assistant. Personalisation. A one-time onboarding hands it the consultant's own methodologies, templates, frameworks and voice. What comes out arrives in their template, follows their methods, and reads in their words. Quality control. Every document it produces passes three layers of audit before it leaves — sources traced, figures recomputed, claims contested by models outside the system. That is where AI hallucination and error get caught. Data walling. Nothing moves from one engagement to another, and the models do not train on client work. And it is one system rather than a patchwork of tools: the whole practice runs in a single environment that sharpens with every engagement. The net effect, measured on the existing user base, is a 25x on average, while improving the general quality of the work. Demonstration of Turboconsutlant Both cases are invented, and so is the consultant behind them — a generic profile carrying no proprietary methodologies, no past deliverables, no writing to learn from. The engagement starts the way a real one does: a request for proposal lands by email. Everything that follows comes out of that one document and public sources. The proposal — thirty minutes The system interviews the consultant first — how they want to work, whether they know the client, who delivers, what their day rate is. Then it writes, in their own template: context, the question behind the client's question, objectives, approach and methodology, scope in and out, work packages, data room requirements, timeline, budget options, next steps. The consultant reviews and signs off. Nothing leaves unvalidated. Without AI, a proposal of that depth is several man-days.
Show Notes: Andreia Fernandes, founder of the Portfolio Career Institute, explains that the term "portfolio career" was coined by Charles Handy in 1994, and it emphasizes working in different roles and contexts. Defining a Portfolio Career Andreia adds that portfolio careers involve using different skills in various contexts, such as a mathematician working in both a school and an insurance company. She highlights that portfolio careers are not just about diversifying income streams but also aligning with one's values and being purpose-driven. The Portfolio Career Program Andreia describes the stages of her cohort program for pursuing a portfolio career. She emphasizes the importance of community and peer exchange in her program, sharing an example of two bankers with different career paths. The program starts with understanding one's strengths, purpose, and limitations, and includes evaluating whether a portfolio career is the right fit. Andreia mentions that some participants are clear about their goals, while others are unsure and need guidance to explore new paths. Designing a Career Andreia discusses the importance of self-reflection and specific exercises in her program, such as the Ikigai principle. She introduces the portfolio career canvas, a framework she developed with a scientific background to help participants design their careers. The canvas includes elements like portfolio career metrics, learning journey, network building, and revenue streams. Andreia explains that participants need to consider what would make them regret having a portfolio career and adjust their plans accordingly. Stages of the Portfolio Career Program Andreia explains the next stages of the program, focusing on activating networks and positioning oneself in the market. She shares her own experience of having a portfolio career, including entrepreneurial ventures, lecturing, and executive coaching. Andreia emphasizes the importance of having a unique selling proposition (USP) and positioning oneself in the right environment. She provides examples of her clients' success stories, such as a banker who became a lecturer and project manager. How the Program Helps Participants When asked about common strands in portfolio careers, and Andreia mentions that there are no limits to what one can do. Andreia shares an example of a white-collar worker who wanted to produce something with their hands, such as brewing beer or working with wood. She discusses the concept of strategic diversifiers, who have two passions and want to follow different streams to balance their energy. Andreia highlights the importance of learning and knowledge sharing in portfolio careers, especially in the knowledge economy. How the Program Impacts Careers Andreia shares examples of participants who have gone through her cohort and the impact it had on their careers. She mentions a banker who became a lecturer and project manager, exploring new areas outside of risk management. Another participant, an employer for seven and a half years, strengthened her current activity by exploring new business models. Andreia emphasizes that the program helps participants design their future and make informed decisions about their careers. For those who want to learn more about Andreia's coaching and the Portfolio Career Institute, Andreia offers upcoming events and webinars where potential participants can meet her and learn about her approach. Andreia encourages listeners to visit the website for more information and to contact her directly for further inquiries. Timestamps: 0:02: Defining a Portfolio Career 02:50: Program Structure and Community Support 06:51: Self-Reflection and Exercises 13:16: Activating Networks and Positioning 14:36: Common Strands in Portfolio Careers 19:52: Impact of Cohort Participants 20:56: Resources and Contact Information This episode on Umbrex: https://umbrex.com/unleashed/episode-655-andreia-fernandes-portfolio-careers-the-future
Show Notes: Shankar Ananth shares his background, mentioning his nine years of consulting experience, highlighting his experience at McKinsey and Bain, and his role in building the new app, Micro-Casing. Bridging the Gap in Case Interview Preparation Shankar explains the gap in case interview preparation methods, which led him to create Micro-Casing. He also mentions his eight years of experience as a case coach and the usefulness of the app for students. He discusses the target audience of the app, which includes consulting candidates and those looking to improve their consulting thinking. Micro-Casing - Your Case Partner Reimagined Shankar explains the homepage of the app, where users can log in through Google or Apple.