Professional services firms sell time and expertise, which makes efficiency a proxy for profitability in a more direct way than it does in many other industries. Where a product-focused firm may be able to improve its margins through supply chain or production optimizations that have little bearing on the productivity of any individual worker, a professional services firm’s ability to increase its margins is inextricably linked to its ability to optimize the time of its people in service of its clients. AI can improve project management, resource allocation, and profitability forecasting in professional services firms in ways that were previously impossible
Smarter Project Management
AI-driven project tracking can identify scope creep, budget overruns, and resourcing conflicts earlier than would otherwise be possible, improving a firm’s ability to manage a project’s budget and timeline. Traditional project management in professional services is often conducted on a periodic review cadence. At some point in a project – frequently weekly or monthly – a project lead will review the project’s current status, budget utilization, and timeline adherence in order to identify any issues that need to be addressed. Because this review only occurs once per period, any issues that arise between reviews are not identified until the next scheduled review, at which point it may be too late to take action without negatively impacting the project’s timeline or budget.
AI-driven project tracking, by contrast, can continuously evaluate time utilization, budget utilization, and project progress against the timeline in order to identify issues as soon as they arise. This enables project leads to address issues while they are small and still have time to make a meaningful impact on the project’s timeline or budget.
Matching People to Work
AI-assisted resource allocation can more accurately match consultants’ skills and availability to project requirements, reducing both bench time and overallocation of any one consultant. Resource allocation in professional services has traditionally been conducted on a relatively informal basis, with a small number of resourcing managers or partners responsible for maintaining an informal understanding of which consultants have which skills and are available when, and then matching them to upcoming projects as they arise. This works reasonably well at smaller scales but becomes unwieldy as the firm grows, both because the information required to make these decisions must be maintained and updated manually and because the more people are involved in the resourcing process, the more likely it is to favor consultants who have strong relationships with the resourcing managers or partners over consultants who may be just as qualified but less visible.
AI-assisted resource allocation can utilize a more complete and accurate view of consultant availability and skills, as well as the requirements of upcoming projects, in order to make more accurate allocations than would otherwise be possible. This has two benefits: it reduces bench time by reducing the number of consultants who must sit idle while no projects are available that they are qualified for, and it reduces overallocation of any one consultant by reducing the tendency to rely on consultants who have stronger relationships with resourcing managers or partners
Profitability Forecasting
By analyzing a project’s profitability in real time rather than waiting for month-end, firms can identify and address scope or pricing issues while a project is still ongoing, rather than after the fact. Traditional profitability management in professional services is conducted on a periodic review cadence similar to that of project management. At some point in each month or project cycle, a manager will evaluate a project’s profitability based on the time and expenses that have been incurred to date in order to identify any issues that need to be addressed. Because this review only occurs once per month or project cycle, any issues that arise in between reviews do not become apparent until the next review, at which point it may be too late to take any action without negatively impacting the project’s timeline or budget.
Real-time profitability forecasting enables firms to analyze a project’s profitability in context and in real time, identifying issues as they arise so that they can be addressed while the project is still ongoing. This enables managers to take advantage of the time between the review in which a profitability issue was identified and the next review to address the issue before it negatively impacts the project’s timeline or budget.
Change Management in a People-Centric Industry
Professional services firms are, by their nature, people-centric, and the introduction of AI- driven project management, resource allocation, and profitability forecasting touches on people-centric issues – primarily, how a partner’s judgment is used in the resourcing process and how a consultant’s performance is evaluated. The most successful implementations of these technologies occur when firms recognize the importance of managing change around them in order to maximize their value across the firm. This typically involves being transparent about the ways in which the insights provided by these technologies are intended to support, rather than replace, the judgment of experienced project leads and partners, and involving experienced project leads and partners in the development of these technologies in order to inform the business logic that drives them, thereby encouraging adoption by embedding existing professional judgment into the technologies’ development.
The MonoSpear Perspective
MonoSpear helps professional services firms realize the benefits of AI-driven analytics and automation by implementing the technologies and processes that improve project delivery, workforce utilization, and profitability. This includes the capabilities described above – real-time project tracking, resource allocation, and profitability forecasting – but typically involves implementing them in ways that improve the tools and processes project leads and partners already use, rather than requiring them to learn and adopt an entirely new set of tools.
Additionally, MonoSpear works with firm leadership to manage the change that surrounds the adoption of these technologies, focusing on ensuring that the intelligence they provide is leveraged to support and enhance the professional judgment of the firm’s people, rather than undercutting it, and encouraging adoption by ensuring that people with experience in the professional service space are involved in the implementation and ongoing improvement of these technologies.
FAQs
1. How can AI improve professional services firms
AI improves project tracking, resource allocation, and real-time profitability forecasting across client engagements, catching developing issues meaningfully earlier than traditional periodic review cycles typically allow.
2. What is AI-assisted resource allocation?
It is the use of AI to match consultants’ skills and availability to project requirements, reducing bench time and overallocation by working from a more complete and current picture than manual, relationship-dependent resourcing processes typically achieve.
3. Can AI help catch project budget overruns earlier?
Yes, AI-driven project tracking can flag scope creep and budget issues earlier than traditional manual reviews, by continuously monitoring time and budget consumption rather than assessing progress only at periodic check-ins.
4. How does MonoSpear support professional services firms?
MonoSpear implements AIdriven analytics and automation tailored to project delivery, workforce, and profitability requirements, typically within the tools and processes project leads and partners are already using, and supports leadership in managing the change that surrounds these technologies’ adoption.