Firm-wide optimisation, in your hands

Optimised resource management is key to navigating disruption, retaining and maximising talent, and increasing profitability.

Our market-leading AI engine works alongside you to handle complex resource requirements from across the firm, putting the power of total workforce optimisation in your hands.

Adapt

Switch between AI modes that flex around ever-evolving needs and complexities

Evolve

Supersede outdated scheduling methods to embrace new approaches that drive success

Optimise

Resource optimally at scale; improve efficiencies, empower and retain talent, and increase profitability

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How AI transforms your resource management Back to top

How AI transforms your resource management

How AI transforms your resource management

Efficiency and control

Our AI is built to optimise, not replace decision making. Review, accept, or reject AI suggestions seamlessly, whilst working on the plan.

Match talent from across your firm

Effortlessly build fully optimised, cross-functional teams to deliver engagements.

Intelligent optimisation, defined by you

Locate the right people with the right skills, at the right time, for the right reason; configurable AI which factors talent preferences, utilisation, and margin targets.

Rapidly deploy

Dayshape does more than just recommend optimal resource, with AI-powered scheduling built into resource and engagement view, for efficient, streamlined, and intelligent scheduling.

Adapt to your needs

Seamlessly transition between AI levels on the Gantt to adapt around day-to-day resourcing needs to empower resource managers with AI that works for them.

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Our customers say…

  • “The AI functionality will hugely benefit the resourcing team.”

    Sarah Kirkman Recruitment and Resourcing Lead at Moore Kingston Smith Read the case study

  • “Now we can make sure we assign new work to someone with only 20 hours currently scheduled in a week, rather than someone with 40 hours.”

    Kristiann Phelan RMCP Resource Manager at Wolf & Company Read the case study
  • Customer success

    “We needed a resource management solution that could scale with us. With Dayshape we have a solution that is not just fit for now but fit for the future.”

    Sarah Kirkman Recruitment and Resourcing Lead at Moore Kingston Smith Hear more from our customers

Increase efficiencies with adaptable AI levels

Dayshape offers two AI levels for you to seamlessly switch between as required:

Assist

Quickly identify the most suitable resources for your engagements

Advise

Efficiently schedule engagements at scale whilst avoiding clashes

Assist

  • Provides a suitability score for each resource based on configurable criteria such as availability, grade, location, or skills
  • Driven by data with decisions made by resource managers
  • Centralises fragmented data from across the business
  • Configurable to you; scoring is based on your unique business objectives

Advise

  • Optimally match and deploy talent in a matter of seconds
  • Decide whether to approve or reject automated allocation, leaving the final resourcing decision to you
  • Ideal for graduate intake or pre-budget bulk resourcing
  • Quickly adapt plans when experiencing disruption
  • Holistic allocation across the resource pool prevents scheduling clashes and complexity
  • Alleviates firefighting to enable resource managers to work more strategically
Integrations feature image

Connections that power your resource management

Our integrations allow us to use your real-time data to optimise scheduling in Dayshape.

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Not all AI is built the same

There are many different types of AI, and they are often built with certain purposes in mind. For instance, machine learning and generative AI (e.g., ChatGPT) are forms of black box AI which provide quick results to specific learnings/commands but provide little to no indication of how that result was reached. In these forms, there is justifiable concern for AI-related risks around data transparency, privacy, and security. 

In contrast, Dayshape’s AI scheduling is built on a combinatorial optimisation model which provides clear reasoning behind AI-powered suggestions to enable informed, data-driven resourcing decisions.

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