Overview: We are seeking an experienced independent M&A advisor to work directly with the founder and CEO on a confidential strategic sale process for enterprise software company. This is not a traditional investment banking engagement. We are looking for a senior advisor with deep technology M&A experience who can help position the company, identify strategic acquirers, facilitate introductions, advise on negotiations, and help maximize transaction value. The advisor will work directly with the CEO and external legal counsel. Company Overview The company develops enterprise software focused on AI-driven workflow automation, business process automation, knowledge management, and agentic AI solutions serving enterprise customers across telecommunications, retail, manufacturing, and other industries. Responsibilities -Develop overall M&A strategy and transaction roadmap -Refine positioning and acquisition narrative -Identify and prioritize strategic and financial buyers -Build confidential buyer outreach strategy -Make introductions to corporate development executives and decision makers -Advise on teaser, executive summary, and management presentation -Participate in selected buyer meetings -Help evaluate indications of interest and Letters of Intent -Advise on valuation and deal structure -Coordinate with legal, accounting, and tax advisors throughout diligence -Help create competitive tension among qualified buyers Ideal Background -Former Managing Director or Director at a recognized investment bank OR former Head of Corporate -Development or VP of M&A at a technology company 15+ years leading enterprise software or SaaS transactions -Extensive network of corporate development leaders -Experience selling founder-led technology companies -Strong understanding of AI, workflow automation, enterprise software, or digital transformation markets -Experience with transactions involving strategic buyers such as enterprise software vendors, industrial technology companies, systems integrators, or private equity-backed platforms is highly desirable.

We have an existing application that includes several AI-powered features and integrations. Some features are currently not functioning as expected, and we are looking for an experienced developer to review the codebase, identify the root causes, and implement reliable fixes. The ideal candidate should be comfortable working with AI/LLM integrations, debugging complex systems, and improving existing functionality without disrupting the overall application.

Looking for an elite problem solver, either an ex-MBB consultant with deep technical fluency or a seasoned AI Product Manager, to act as the crucial bridge between business operations and technical AI implementation. You will be responsible for dissecting client operations, prototyping the AI logic, writing flawless engineering briefs, and driving the development team to the finish line. What You Will Do: Workflow Audits & Discovery: Lead deep-dive discovery sessions. Map out existing operational workflows, identify bottlenecks, and pinpoint high-ROI opportunities for AI automation. Prototyping & Technical Translation: Because you are an AI power user, you will prototype the initial AI prompts and logic. You will then translate your operational findings into crystal-clear engineering briefs (or PRDs) so developers know exactly what to build. Development Management: Act as the project lead during execution. Manage the engineering workstream, clear roadblocks, and ensure the final solution is delivered on time, within budget, and achieves the strategic goal. Stakeholder Alignment: Act as the primary liaison between non-technical business leaders and the technical development team. Requirements & Qualifications: Top-Tier Pedigree: 1+ years of experience at a top management consulting firm (MBB, Big 4, Tier 2) OR proven experience as a Technical/AI Product Manager. Advanced AI Fluency: You are an AI power user. You possess advanced prompt engineering skills (e.g., chain-of-thought, few-shot) and know how to force LLMs to output reliable, structured data. Elite Structured Thinking: You excel at turning highly ambiguous, messy business processes into clean, logical frameworks (using Lucidchart, Miro, etc.) and comprehensive technical requirements. Project Leadership: Proven track record of managing technical resources, tracking deliverables, managing budgets, and driving teams to a deadline.

We are a growing construction law firm seeking an experienced AI strategist and solutions architect to advise our AI Council and help us identify, prioritize, and build practical AI solutions that improve productivity, reduce administrative burden, and enhance legal workflows. This is not a purely advisory role and it is not a traditional developer position. We are looking for someone who can help us evaluate opportunities, recommend technology solutions, perform build-versus-buy analyses, and then assist in building approved AI agents, workflows, and automations. Our initial focus is internal productivity and workflow improvement rather than client-facing applications. ABOUT US: We are a boutique construction law firm with attorneys and staff across multiple states. We have an active AI Council and are committed to thoughtful, practical adoption of generative AI. Current technology stack includes: * Microsoft 365 Copilot * Microsoft Teams * SharePoint * NetDocuments * Centerbase * Lexis Protégé Available: * Microsoft Power Platform * Power Automate * Copilot Studio * Power BI WHAT WE NEED: We are seeking a long-term advisor who can serve both in an advisory and developmental role: Strategic Advisory * Evaluate AI use cases submitted by our AI Council * Recommend practical implementation approaches * Perform build-versus-buy analyses * Evaluate AI vendors and emerging technologies * Advise on legal-industry AI trends and best practices * Help establish governance and implementation standards Solution Design & Development * Design AI agents and workflow automations * Build approved solutions within the Microsoft ecosystem * Create proof-of-concepts and pilot programs * Integrate solutions with existing firm systems where appropriate * Assist with testing, refinement, and deployment Initial Project Focus: Our first major initiative will likely involve evaluating whether we can replace or replicate portions of commercial contract review software through an internally developed solution. We are particularly interested in exploring: * Contract review workflows * Clause analysis * Risk identification * Contract summaries * Knowledge management integration IDEAL QUALIFICATIONS * Experience working with law firms, legal departments, or legal technology companies * Experience implementing generative AI solutions in professional services environments * Deep understanding of Microsoft Copilot ecosystem * Experience with Copilot Studio, Power Platform, and workflow automation * Ability to communicate effectively with attorneys and non-technical stakeholders REQUIRED * Experience designing and implementing AI agents or workflow automations * Ability to evaluate business requirements and recommend appropriate solutions * Strong understanding of current generative AI tools and trends * Ability to translate strategy into practical implementation Please provide a cover letter with your qualifications and answers to the following questions: 1. Describe a law firm or legal department AI project you personally led. 2. What is your experience with Microsoft Copilot, Copilot Studio, Power Platform, and Power Automate? 3. Describe a build-versus-buy recommendation you made and the factors considered. 4. If asked to replicate a significant portion of a contract review platform internally, how would you approach the project? 5. How do you measure ROI and success for AI implementations? We are looking for a practical advisor and builder who can help us make sound decisions, avoid unnecessary spending, and implement solutions that deliver measurable value.

Seeking an experienced AI Solutions Architect to provide consultation and design an enterprise-grade Agentic AI platform capable of automating business workflows, retrieving knowledge from enterprise data sources, and integrating with existing business systems. This engagement focuses on solution architecture, technical design, technology selection, implementation planning, and best practices rather than full-scale application development. Scope of Consultation The consultant will: Assess current business processes and identify high-value AI automation opportunities. Design an enterprise Agentic AI architecture aligned with business and technical requirements. Define multi-agent workflows, agent responsibilities, and orchestration strategies. Design a scalable Retrieval-Augmented Generation (RAG) architecture for enterprise knowledge retrieval. Recommend the appropriate Large Language Models (OpenAI, Claude, Gemini, AWS Bedrock, Azure OpenAI, etc.) based on cost, performance, and use cases. Recommend vector database technologies and semantic search architecture. Design secure integrations with enterprise applications, APIs, and internal knowledge repositories. Define prompt engineering strategies, AI guardrails, evaluation methodology, and governance practices. Recommend cloud architecture and deployment strategies for AWS, Azure, or Google Cloud Platform. Provide guidance on LLMOps, monitoring, observability, security, model lifecycle management, and scalability. Develop an implementation roadmap, including phases, estimated effort, risks, and technical recommendations. Required Expertise Enterprise AI Solution Architecture Agentic AI Multi-Agent Systems Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) LangChain LangGraph Prompt Engineering OpenAI API Anthropic Claude Google Gemini AWS Bedrock Python Vector Databases Enterprise System Integration AWS Microsoft Azure Google Cloud Platform AI Governance LLMOps MLOps Workflow Automation Deliverables Enterprise Agentic AI solution architecture document Multi-agent workflow design and orchestration diagrams RAG architecture and knowledge management design Vector database recommendation and data flow architecture Cloud deployment architecture Integration strategy for enterprise systems AI governance, security, and LLMOps recommendations Implementation roadmap with milestones and estimated effort Architecture review presentation and knowledge transfer session Project Outcome Delivered a comprehensive enterprise AI architecture and implementation strategy that provides a scalable foundation for deploying Agentic AI solutions. The consultation enabled stakeholders to make informed technology decisions, reduce implementation risks, accelerate development, and establish best practices for governance, security, and long-term operational success.

I am seeking a highly analytical AI Prompt Engineer & Knowledge Strategist to enhance our AI system's understanding of education civil rights. The role involves crafting precise prompts and developing knowledge strategies to ensure the AI's accuracy and relevance. An NDA is required due to the sensitive nature of the topic. The ideal candidate will have a strong background in AI engineering and a keen interest in education and civil rights.

Overview We are a growing, privately held group of operating companies in the heavy equipment, equipment dealership, auction, rental, service, parts, and logistics industries. We are seeking an experienced Fractional Chief Information Officer to assess our current technology environment, develop a practical technology roadmap, and help lead the implementation of priority initiatives across multiple business units and locations. We are looking for a business-oriented technology leader who can help us improve: Systems integration Process automation and AI implementation Data and Inventory visibility CRM adoption and accountability Executive dashboards Phone system capabilities Cybersecurity oversight Vendor accountability Standardization across operating companies and locations The ideal consultant will be comfortable moving between strategy and execution. We do not need a report that sits on a shelf with no one to execute it. We need a leader who can identify priorities, simplify decisions, select the right vendors and tools, and help drive implementation. Business problem to solve Our businesses have grown across multiple operating models, systems, vendors, and locations. We need stronger visibility, more consistent processes, and better integration between the systems that support sales, inventory, rentals, service, parts, auctions, logistics, marketing, finance, and leadership reporting. We want to reduce duplicate data entry, improve the quality and timeliness of information, strengthen accountability, and give leadership trusted data for faster decision-making. Initial engagement We expect the initial engagement to include a structured technology and business systems assessment, followed by a prioritized roadmap. Phase 1 deliverables: Assess the current technology environment, including key systems, vendors, integrations, data flows, reporting processes, and operational pain points. Identify urgent risks, quick wins, and longer-term priorities. Develop a practical 12- to 24-month technology roadmap with sequencing, estimated resource needs, decision points, and recommended ownership. Evaluate our current phone system environment and recommend a plan for upgrade, vendor selection, and implementation. Recommend an approach to improve inventory visibility, including equipment locations, attachments, transfers, rental status, and related reporting needs. Develop a business intelligence and dashboard strategy for leadership reporting. Evaluate CRM adoption, data quality, workflow consistency, and sales management visibility. Identify practical AI and automation opportunities that can save time, improve reporting, strengthen customer response, and reduce repetitive manual work. Review cybersecurity posture, vendor coverage, disaster recovery, business continuity, and major risk gaps. Recommend an implementation governance model, including decision rights, project cadence, vendor accountability, and progress reporting. Likely implementation priorities The exact sequence will be finalized after the initial assessment, but current priorities include: Immediate priorities Technology assessment and systems inventory Phone system upgrade and implementation planning Practical AI strategy and initial use cases Inventory visibility improvements Data ownership and reporting standards Near-term priorities Executive dashboard development CRM optimization and adoption Integration between CRM, accounting, inventory, rental, dealership, auction, logistics, and marketing systems Reduction of duplicate data entry and spreadsheet-based reporting Vendor performance management Cybersecurity and continuity improvements Longer-term fractional CIO responsibilities Depending on fit and the assessment results, the selected consultant may continue in an ongoing fractional capacity to: Lead technology roadmap execution Oversee system selection and implementation projects Coordinate internal stakeholders and outside vendors Improve data governance and reporting reliability Develop executive dashboards and KPI visibility Support CRM adoption and process standardization Identify and implement workflow automation Guide responsible AI adoption Strengthen cybersecurity oversight Establish repeatable technology decision-making standards Provide executive-level recommendations on technology investments What this role is not This is not primarily a role for: Routine help desk management Printer, laptop, or desktop troubleshooting Server administration Basic managed IT support A pure software developer A consultant who only produces recommendations without implementation support We need someone who can translate business problems into practical technology solutions and help drive adoption across the organization. Required experience Candidates should have meaningful experience leading business systems improvement in a multi-location or multi-business operating environment. Strong candidates will have experience with several of the following: Fractional CIO, CIO, CTO, VP of Technology, enterprise applications, or technology transformation leadership Systems integration and enterprise architecture ERP, accounting, CRM, inventory, rental, or operational systems Business intelligence tools such as Power BI or Tableau Dashboard development and executive KPI reporting Data governance and reporting standardization Vendor selection, contract management, and implementation oversight AI use-case identification and workflow automation Cybersecurity oversight, disaster recovery, and business continuity Change management and user adoption Privately held, family-owned, founder-led, or entrepreneurial businesses Experience in equipment dealerships, distribution, rental businesses, logistics, construction, agriculture, automotive dealerships, industrial services, or other multi-location operational environments is strongly preferred but not required. Working style The right person will be: Business-oriented Practical and execution-focused Comfortable challenging unclear priorities Able to simplify complex decisions Comfortable working with ownership, executives, department leaders, branch teams, and outside vendors Willing to get into the details without losing strategic perspective Focused on measurable business outcomes rather than technology for technology’s sake Some onsite discovery work and periodic travel to company locations may be required. Please indicate your availability for onsite work in Pennsylvania and Maryland. What success looks like Success should produce measurable improvement in the business, including: Leadership has reliable visibility into key business metrics Reporting becomes faster, more automated, and more trusted Inventory locations and status are easier to understand CRM adoption and sales visibility improve Systems communicate more effectively Duplicate data entry and manual reporting are reduced Technology vendors are held accountable AI and automation create measurable productivity gains Cybersecurity risks are better understood and addressed Ownership spends less time searching for information and more time making decisions Please include the following in your proposal A brief description of two or three similar engagements you have led. An example of a multi-location, multi-business, dealership, distribution, rental, logistics, or operational environment you have supported. Your approach to the first 90 days of an engagement like this. Your experience with ERP, CRM, inventory, rental, accounting, phone, reporting, and business intelligence systems. Your experience implementing AI or workflow automation in a practical business setting. Your approach to vendor selection and vendor accountability. Your preferred engagement model, expected weekly availability, hourly or project rate, and ability to support onsite discovery work. Whether you personally lead the work or delegate significant portions of the engagement to other team members.

We are a digital forensics company that has marketed primarily online using SEO and PPC. Our primary clients are attorneys, insurance companies and law enforcement agencies. We are frustrated with the expense of PPC both for Google and through a consultant. Thus, we are exploring AI search optimization and whatever role SEO plays in todays online search landscape, including SEM optimization. We know that we could generate content for AI search, but are lost on where to begin. We also now have many more competitors than we used to online.

I need someone to help me develop a social media strategy and plan including Facebook, Instagram, X, LinkedIn, and Pinterest using AI-driven tools. The ideal candidate will have experience in creating engaging content and analyzing performance metrics to optimize campaigns. Familiarity with AI tools to enhance strategy is essential.

We are a boutique professional services firm seeking an experienced Microsoft Purview consultant to help us design and implement an AI data governance strategy within our Microsoft 365 environment. The ideal candidate will have deep expertise in Microsoft Purview, Microsoft 365 security and compliance, and AI data governance, and will be able to provide both strategic guidance and hands on implementation support. We are looking for a trusted advisor who can help us evaluate available Microsoft technologies, recommend practical solutions, and implement an AI governance framework that aligns with our firm's operational, security, and compliance objectives. Initially, we are seeking a consultant to assess our current Microsoft environment, explain the capabilities available through Microsoft Purview, identify any licensing considerations, and recommend a practical implementation roadmap for a small organization. If the engagement is a good fit, we anticipate continuing through implementation and ongoing advisory support. Areas of interest include: Microsoft Purview Microsoft Information Protection and Sensitivity Labels Data Loss Prevention (DLP) Information Governance and Records Management Retention Policies eDiscovery capabilities Microsoft Copilot governance AI governance and best practices Monitoring, auditing, and reporting We are particularly interested in understanding how Microsoft technologies can help organizations govern and protect information used with AI platforms, including Microsoft Copilot, ChatGPT, Codex, and similar tools, while maintaining appropriate administrative controls and information governance. Experience implementing Microsoft Purview for professional services organizations is preferred. Strong communication skills and the ability to explain technical concepts to business users are important.