FAQs

Aurora is reacHIRE's leadership transformation program, built to help people move from waiting on change to leading it. Participants from within one organization work in cohorts guided by former senior executives, building the judgement and influence to step into decisions and drive initiatives instead of sitting them out. The program typically runs for 6 months and is tailored to an organization's pace of change.

Aurora is built for mid-career managers, directors, and technologists at companies navigating significant change, including major AI initiatives. We support people ready to take a more active role in shaping that change within an organization.

Aurora runs in cohorts because change sticks when people move through it together, not alone. Peers create a shared language, mutual accountability, and a network that outlasts the program. This structure turns individual growth into organizational impact: carrying new behaviors across the team, not just one person at a time.

reacHIRE Guides are former senior executives who've led teams through massive change, something an AI coach or traditional facilitator has never done. They know what it feels like to navigate uncertainty, and bring that lived experience directly into the room with participants. Because Guides also facilitate individual 1:1s, they build connection, reinforce learning, and help participants grow and stay engaged within the organization.

Aurora starts by helping participants identify their strengths, then builds the agency and curiosity to navigate ambiguity, show up differently, and pursue bold ideas. Through coaching, peer learning, and real-world application, Guides and peers help turn insight into action, and participants build networks across the company that help new strategies stick. The result: people apply their strengths more fully and create a lasting impact on the business.

As participants bring more of their own judgement and initiative to the work, that shows up as measurable impact across the business: less hesitation, faster decisions, and teams that adapt instead of stall. Aurora is built so growth at the individual level compounds into organizational return.

Aurora addresses the human side of AI-driven change, building the mindset, curiosity, courage, and personal agency leaders need to evolve as work changes rapidly. Cohort discussions create space to experiment, share experiences, and challenge assumptions, helping foster the attitudes, behaviors, and cultural shifts needed to accelerate AI adoption and move people and businesses forward.

Aurora includes an AI Hub built specifically for participants, with two tools: an Action Planner that offers structured advice for workplace challenges, and an AI Mentor for real-time guidance on career and workday decisions. Built on reacHIRE's proprietary framework and trained on insights from hundreds of experts, Guides, and executives, AI Hub goes beyond generic AI tools to encourage proactive problem-solving and decision-making for immediate challenges.

reacHIRE helps organizations increase AI adoption through Aurora, a cohort-based development program. Aurora brings a human lens to AI transformation, helping your team rethink how their roles are changing and create environments where employees can experiment responsibly. Aurora complements technical training by building the behaviors and leadership practices that turn change into output, helping a company's bottom line.

Aurora focuses on the layer investments often miss: behavior change and adoption. Aurora helps participants develop the curiosity and habits to experiment with AI, find where it creates value in their own roles, learn from peers, and build new ways of working over time. For leaders, Aurora builds the skills to guide teams through the change, creating environments where people can experiment, question AI output, and evolve alongside the technology.

Aurora asks for approximately 1–2 hours a week from participants, split between group discussions, 1:1s, and platform assignments, with optional short "quick connect" sessions available when they have extra time. The program is fully virtual, lowering cost and time commitment. Its virtual delivery system enables participants to participate globally but in a hands-on format.

Aurora is proven across a variety of industries and complex business environments. We've worked with global organizations in financial services, technology, healthcare software, telecommunications, semiconductors, and retail, among others. Each engagement is tailored to the organization's culture, priorities, and populations, so the program fits the business rather than the other way around. See our proven results here.

Customization starts with your organization's priorities: the specific business strategies, populations, and outcomes you're solving for. From there, Guides are matched to cohorts, and program emphasis shifts to reflect what your teams need most. The core framework stays consistent, while execution is tailored to your business and people.

We also incorporate your branding, corporate competencies, values, and language, so Guides reinforce the terminology participants use internally. Company leaders are also embedded directly into the experience throughout the program via short videos and as live featured guest speakers, bringing familiar voices and context into the learning.

AI behavioral readiness is when employees and leaders have the habits, judgement, and motivation to use AI in their everyday work, beyond having access to tools or completing training. Many AI investments stall at adoption: people learn what a tool can do, then fall back on familiar ways of working. When behavioral readiness is high, employees experiment with AI, apply it to meaningful work, and keep evolving how they use it in their day-to-day role.

AI skills training teaches people how to use AI tools, including features, prompting, and workflows. Behavioral readiness develops over time through practice, reflection, peer learning, and leadership support. Organizations need both: training provides the capability, and behavioral readiness determines whether it turns into changed ways of working.

Employees often struggle to adopt AI after training because knowing how a tool works doesn't actually change how people do their jobs. Adoption depends on new habits, and habits form through repeated practice in real situations. Common barriers include uncertainty about where AI adds value beyond small tasks, worry about making mistakes, lack of time to experiment, and managers who don't model or encourage AI use.

People start treating AI output as a final answer instead of a starting point. When employees accept outputs without applying their own judgement and experience, errors slip through, and decisions lose context that only people who know the business can provide. While automation and productivity might increase, companies have to keep people’s experience and judgement at the center of how decisions get made.

Companies prepare employees for AI transformation by pairing tool access and skills training with structured support for behavior change. That includes giving people time and permission to experiment on real work, creating peer groups where employees share what worked and what didn't, equipping managers to lead teams through uncertainty, and reinforcing new habits over months instead of a single session.

Organizations overcome employee resistance to AI by addressing what drives it: uncertainty about job security, fear of looking incompetent, and skepticism about whether AI actually helps. Effective approaches include being transparent about how roles may change, letting people start with low-stakes experiments on their own work, creating peer groups where people can talk openly about what's hard, and having leaders visibly use AI themselves. Read more about what employees actually want during AI change.

Employees who navigate AI-driven change well share a set of practical behaviors: experimenting with AI on real work before they have perfect instructions, making sense of ambiguous situations, questioning AI output instead of relying on it, reflecting on results and adjusting, sharing learnings with peers, and reframing their own roles as tasks shift. These behaviors are trainable. They strengthen through repeated practice, feedback, and workplaces where trying something new is expected and supported.

Leaders build a workforce ready for continuous AI-driven change by making learning and experimentation part of how work gets done. That means modeling curiosity and AI use themselves, setting clear expectations for responsible experimentation, recognizing learning as well as results, and helping teams make sense of how their roles are evolving.

reacHIRE has spent over a decade unlocking personal agency at scale, starting with professionals rebuilding their careers after a career break (Returners). That same approach, turning insight into lasting behavior change, was applied to leaders and teams already inside companies, 100% of whom have renewed and expanded their programs.

Skills libraries typically deliver content asynchronously, but content alone rarely changes how people show up at work. Aurora combines personalized coaching, live team sessions, and peer learning in cohorts. Between sessions, participants also have access to on-demand tools that reinforce what they're building with their Guide, so learning turns into real behavior change through guidance, direct feedback, and practice. See how we compare here.

1:1 coaching typically focuses on the individual alone. Aurora strengthens the individual and the organization together, through cross-functional peer cohorts that share perspectives and hold each other accountable while building real networks across the company. Combined with personalized coaching, the shared experience helps participants apply what they learn in the context of their own organization, creating impact that outlasts any single coaching relationship. See a full comparison of Aurora against other coaching and development options.

Building an internal leadership development program requires ongoing investment: time, headcount, and continual work to research, update, expand content as needs change, and deliver it.

Aurora removes that work with a ready-to-deploy customizable curriculum, former executives bringing diverse industry experience, and a robust, integrated platform. Built-in qualitative and quantitative analytics give you visibility into engagement, behavior change, and outcomes, so you can make informed talent decisions without building the infrastructure yourself.

Aurora is a development experience embedded in participants' actual work, whereas traditional leadership development is often a one-time training event. Over several months, participants bring real challenges, such as leading through change, influencing stakeholders, difficult conversations, and career decisions, and work through them with a small group of peers and an experienced Executive Guide. Learning happens through reinforcing experiences: small-group conversations, individual coaching, practical tools, reflection, real-world application, and the digital Aurora experience. See how we compare here.

reacHIRE's Return-to-Work program is designed for experienced professionals re-entering the workforce after a voluntary career break of two or more years. We recruit qualified Returners and match them to open roles at partner companies, where they become reacHIRE employees for 6 months while working a full-time assignment at a world-class corporation. From day one, program managers conduct robust re-immersion training, monthly workshops, and 1:1 coaching with facilitators who specialize in career re-entry. Our proprietary platform provides on-demand tools and peer community to sustain momentum throughout. Explore our Return-to-Work program.

reacHIRE manages the full Returnship engagement, specifically designed to drive long-term retention and lasting contribution to your organization. Candidates are matched to your open roles, culture, and priorities, and placed on our payroll for six months with no obligation to convert. 85–90% of Returners convert to permanent roles, and approximately 90% are still with the company three or more years later. See how we work with employers.