Surging demand is pushing field service teams to the limit. Inefficient scheduling is the #1 time drain on field service teams, and skilled tradespeople and technicians waste nearly an entire workday a week on administrative work — time that should go toward hands-on repairs and customer service.

Meanwhile, experienced workers are retiring faster than new talent is entering the field, creating a growing gap in service coverage.

That’s why Salesforce is launching Agentforce for Field Service — the digital labor platform built for field service, that augments dispatchers and technicians with trusted AI agents to eliminate scheduling bottlenecks and tackle routine, time-consuming tasks.

Agentforce integrates seamlessly into existing data systems and user interfaces, autonomously scheduling appointments, assisting with filling schedule gaps, troubleshooting in real time, and summarizing job reports — so teams can complete jobs faster, reduce truck-rolls, and serve more customers better than before. And with audio playback and natural language voice commands, field technicians can conveniently interact with Agentforce and consume information while on the move — boosting productivity, safety, and response times.

How it Works:

Agentforce for Field Service helps companies with in-the-field workers quickly and securely deploy AI agents that can execute tasks proactively or in the flow of work.

This agentic AI technology uses pre-built topics and actions and is underpinned by Data Cloud, Salesforce’s hyperscale data engine that unifies structured and unstructured data — such as a customer’s service history, external product catalogs, or connected asset insights — to ground Agentforce’s responses in accurate and timely information.

The Atlas Reasoning Engine, the “brain” behind Agentforce that mimics or even surpasses human thinking, then converts this raw data and metadata into intelligent actions.

What it is: Agentforce for Field Service enables businesses across any industry, and works with Salesforce’s industry clouds such as Manufacturing Cloud, Energy & Utilities Cloud or Communications Cloud, to:

Schedule appointments: Onsite service appointments take an average of 17 minutes to schedule, 15 minutes to change, and 12 minutes to cancel. Now, customers can engage Agentforce on demand 24/7, in natural language via web or messaging channels to schedule, reschedule, or cancel service appointments in less than 5 minutes.

Agentforce will understand the job type from the context of the conversation and create a Work Order and corresponding Service Appointment.

The AI agent will then query possible technicians based on location and skills required, take into account any constraints communicated by the customer in real time, and offer the best available time slots. It can then add the service appointment to the schedule and finalize the booking — all without human involvement.

Resolve schedule gaps: Agentforce can help fill schedule gaps due to cancellations, no-shows, or early job completions, giving dispatchers greater control over resource utilization without re-running the Salesforce Field Service optimization engine.

It first considers key data points — including job duration, available parts, and traffic data — ‌then refines the list of possible appointments to ensure business rules, such as meeting SLAs, and scheduling objectives like knowing when to avoid overtime versus scheduling as soon as possible, are followed.

Agentforce can then recommend the best service appointment to fill a specific gap for a specific technician, enabling dispatchers to schedule with speed and precision.

Listen and work on the go: With Pre-Work Brief playback, a technician can listen to an Agentforce-generated summary of the work order, enabling them to arrive at a job site fully informed.

Additionally, iPhone users can talk to Agentforce through a Siri shortcut, which will open the AI agent in the Field Service mobile app and initiate any request it’s been set up to do, such as surface information, draft a post-work summary, or schedule a follow-up appointment.

Troubleshoot issues onsite: When a technician asks Agentforce for troubleshooting help in the Field Service app, the agent will query relevant structured data such as product manuals, similar repairs, and sensor data, and unstructured data, such as previous chats and emails, to formulate a response.

But instead of returning a long summary of steps that are hard to follow, Agentforce will guide the technician through each step in a back-and-forth dialogue and can adjust its responses by understanding the context of the conversation or analyzing photos, improving first-time-fix rates.

Wrap-up jobs: At the end of each service appointment, Agentforce can assist with drafting a comprehensive Post-Work Summary report by pulling in data collected by the technician throughout the job.

Once drafted, the technician can use natural language to instruct Agentforce to refine the summary by adding additional information or changing what was summarized.

Agentforce can understand the meaning behind the request and rewrite the summary, making changes based on the user’s input but leaving the rest of the summary unchanged.

In the field: With Agentforce for Field Service, businesses across critical sectors like manufacturing, energy and utilities, consumer home services and technologies can better support their in-the-field workers and customers:

An HVAC manufacturer can now autonomously manage preventative maintenance visits. When an AC or heating unit hits a usage or performance threshold, Agentforce for Field Service can automatically notify the customer via SMS and offer a service appointment, and work with them using natural human language to find the best day and time for the repair.

A hardware company managing thousands of installation and repair appointments can use Agentforce for Field Service to intelligently resolve schedule gaps due to last-minute cancellations.

Dispatchers can engage with Agentforce directly from their dispatch console to fill technician’s schedules with appointments that are optimized for location, time, and skill.

A communications service provider (CSP) technician can use Agentforce for Field Service to troubleshoot a network issue onsite.

Agentforce can adjust its guidance based on what the technician has already tried, analyze photos provided by the technician to determine if something was incorrectly installed, and walk them through how to fix the issue.

A roadside assistance company technician can use Agentforce for Field Service to get up to speed on their way to help a customer who has broken down on the side of the road.

Agentforce can share what service is likely needed, provide a vehicle description, and alert the technician to potential hazards while en route. Once onsite, they can use voice commands to get troubleshooting support from Agentforce.

A power utility’s lineworkers can wrap up jobs more efficiently by tasking Agentforce for Field Service with generating summaries of their work orders based on the forms completed by the technician and the troubleshooting steps taken onsite.

The lineworker can then give Agentforce feedback to refine the summary and save it to the corresponding work order.

Salesforce perspective:

“Agentforce for Field Service redefines how work gets done in critical industries like manufacturing, telecommunications, utilities, and consumer home services. Powered by data and intelligence, this is a massive leap in AI innovation that tackles the inefficiencies that plague field workers today, solving the pain of back-and-forth scheduling while giving field reps the power to make context-aware decisions and handle real-world nuances more effectively. This is just the beginning of a labor revolution where digital and skilled workers together will enable better, faster service, increased customer satisfaction, and accelerated growth across the field service sector,” says Linda Saunders, Salesforce country manager & senior director, Solution Engineering Africa

This came after the company exceeded quarterly sales expectations and issued an optimistic forecast for its recently launched AI-driven products, with its stock already up 26% this year.

The product, Agentforce, has become a driver of Salesforce’s growth projections. This innovative tool aims to meet the increasing demand for AI agents capable of performing tasks autonomously. 

Even with its general availability being announced only in late October, Agentforce has already secured 200 deals, with executives highlighting a solid pipeline of future opportunities during a post-earnings call.

Analysts at Piper Sandler described fiscal 2026 as a good year for Salesforce, noting its efforts to enhance enterprise AI through new pricing and packaging models for products such as Agentforce, Foundations, and Data Cloud. 

They anticipate that these offerings will boost the company’s market reach significantly. J.P. Morgan analysts confirmed this but acknowledged that full monetisation could take time.

The company’s market valuation, currently at $316.85 billion, is set to increase by more than $40 billion if the stock maintains its upward growth. Data from LSEG reveal that at least 20 analysts have raised their price targets for Salesforce, with a new median target of $380 suggesting a possible 15% upside.

For the fiscal year 2025, Salesforce has slightly revised its revenue expectations to a range of $37.8 billion to $38 billion, up from its earlier forecast. In the third quarter, the company reported an 8% increase in revenue, reaching $9.44 billion and surpassing analysts’ average estimate of $9.35 billion.

Baird Equity Research analysts commended the company’s progress in integrating AI into its strategy, with reasonable market expectations, and probable gains as enterprise spending recovers.

Themed “Salesforce’s Talent Development Strategy in Africa: A Focus on Business Growth,” the roundtable focused on Salesforce’s business empowerment in Africa, bridging digital skills gaps, and driving economic growth across the region.

Ursula Fear, senior talent programme manager at Salesforce, shared insights into the company’s initiatives to develop talent, create jobs, and promote sustainability in Nigeria and Africa at large.

Empowering Africa’s Youth: Salesforce’s Trailhead and Skills Initiatives

At the heart of Salesforce’s talent development is its free learning platform, Trailhead. “Trailhead is where anyone—whether a bank teller or a university graduate—can earn badges, points, and rankings, enabling healthy competition within organisations,” said Fear.

She acknowledged the challenges graduates face in securing employment despite multiple certifications. “Five years ago, a Salesforce certification could secure a job but today, you can have five certifications and no experience and still struggle,” she noted. 

To address this, Salesforce stressed the need for work-integrated learning models and internships to bridge the gap between technical knowledge and practical application.

Beyond technical expertise, Salesforce trains the African workforce with soft skills such as behavioural and communication skills needed to thrive in today’s work environment. 

“We’re seeing shorter interventions with a stronger focus on soft skills to ensure individuals are prepared for real-world environments,” Fear emphasised.

West Africa Dreamin’ ignites innovation at inaugural Salesforce conference in Lagos

Building Ecosystems: The Trailblazer Community

Salesforce’s Trailblazer initiative, which Fear described as “a global representation of agents of change,” promotes a global network of learners, partners, and professionals. 

She explained, “When you put on a Trailblazer badge, you are a pioneer, a person that drives change in your community. Through Salesforce, we believe that business is the platform for change.”

One of the company’s collaborative initiatives is the ‘West Africa Dreamin’ Conference, which she described as “a platform for knowledge-sharing and building a strong digital economy.”

The Conference, held recently at the Landmark Event Centre in Lagos, convened professionals, businesses, and developers to explore the transformative prospects of Salesforce technologies. 

Organised by a community of Salesforce enthusiasts, the event stimulated collaboration and innovation within the West African tech industry. 

Attendees had the opportunity to engage in specialised training sessions, interactive workshops, and thought-provoking discussions, gaining insights into current industry trends and challenges.

A highlight of the conference was its emphasis on inclusivity and talent empowerment through platforms like Trailhead, Salesforce’s free learning hub that trains users with in-demand tech skills. 

According to Fear, events like West Africa Dreamin’ build strong professional networks and create ways for African talent to access global opportunities.

AI Literacy: Empowering Human Potential

With artificial intelligence becoming a big part of global businesses, Salesforce is promoting AI literacy through free certification programmes available until December 2025. 

Its latest innovation, AgentForce, combines AI with human expertise, stressing the company’s belief in collaboration over replacement. “We don’t believe AI will replace humans. Rather, we see AI and humans working together,” Fear explained. 

Designed with user-friendly modules, the AI certifications help learners understand and leverage AI effectively in their careers.

“Our training is entirely free. It doesn’t matter who you are; if you’re interested in building fit-for-purpose skills, you are 100% invited.”

Sustainability and Equality as Core Values

Innovation is woven into Salesforce’s operations. “Every four months, we introduce the latest advancements through our quarterly product releases, ensuring our customers’ success,”Fear revealed. 

“We believe in leveraging AI and human expertise together. By 2028, we anticipate creating 11.2 million new jobs globally and generating $2.2 trillion in new business revenue through our ecosystem.”

On sustainability, Fear introduced Salesforce’s Net Zero Cloud,a platform designed to support climate action. “Equality and sustainability are integral to our strategy and we are focused on addressing global challenges like climate change and inequality,” she noted.

Expanding Impact in Rural and Academic Communities

Salesforce’s talent development initiatives are not limited to urban centres. Fear highlighted a project in South Africa where the company established a digital hub in a town with a 66% unemployment rate. “The goal is to bring digital skills to rural areas, transforming them into centres of economic activity,” she explained.

Salesforce partners with academic institutions to provide free resources and training. At Stellenbosch University in South Africa, for example, the company has integrated Tableau into the supply chain logistics curriculum. “The model allows alumni to give back, whether by training professors, creating awareness, or supporting with vouchers,” Fear added.

Speaking on Nigeria’s prospects, Fear said, “Nigeria’s unicorns have made phenomenal impacts. There’s no reason why the country cannot have an enormous industry of digital employment and skills. Business is a huge stimulus for change, and through our ecosystem, we are driving the transformation we want to see in the world.”

On security, Fear said, “Our number one value is trust. We never own our customers’ data. They own it. Our role is to provide the infrastructure and security needed to protect that data.”

With initiatives across education, sustainability, and cutting-edge technology, Salesforce is undeterred in its goal to boost Africa’s digital growth and resilience.

We are entering the third wave of AI where autonomous AI agents will go beyond simply generating and analysing content, as chatbots and copilots did in the first and second waves and will be able to reason and autonomously take action for human colleagues.

Indeed, they’ll work 24/7 to tackle individual, low-value, time-consuming tasks or collaborate with other agents to get larger, more complex jobs and projects done.

In sales, for example, they’ll engage with prospects, answer questions, manage objections, and schedule meetings based on CRM and external data, allowing sellers to focus on building deeper customer relationships.

With dynamic, conversational self-service, they can be configured to answer customer questions using companies’ existing knowledge base so they can automatically resolve account access.

They can also triage registration and payment issues, directing customers to the appropriate resources.

Put simply, the future of AI is agents, and it’s here. Companies need to get ready to implement fast as these autonomous agents will become central to organizations’ customer engagement and experience strategies.

Working together, these customisable agents can autonomously take action on tasks and free up workers to focus on the jobs only they can do.

At Dreamforce, Salesforce unveiled Agentforce – a groundbreaking suite of customizable, autonomous agents and tools, makes it easy for customers to build their own ‘agent force’ — a revolutionary step forward in enterprise AI that will boost productivity, efficiency, and customer satisfaction across service, sales, marketing, commerce, and more.

Agentforce is how humans with AI drive customer success together and it’s been designed so that any organisation can build, customise, and deploy their own agents quickly and easily, with low-code tools.]

Complementing skills, and ensuring accountability

The leap from generative to agentic AI will transform how humans work.

Despite business eagerness to experiment with and deploy AI, many still worry about how to do so safely, how to keep data under their control, and make sure they can trust the AI’s output.

There is considerable concern about AI ‌displacing workers or becoming too powerful and working at odds with humans.

Agents require guardrails, and they have to be monitored to make sure that they’re doing what they’re supposed to.

Success requires not just finding the AI models or building AI actions that best suit a company’s needs, but having the infrastructure and data security to do so responsibly.

Audit trails are necessary to hold autonomous AI agents accountable, just as employers might establish key performance indicators (KPIs) to keep human workers marching toward their expected goals.

It’s important to think about the role of agents at work as a partnership between people and AI. Complementing skills and intelligence will bring better business outcomes.

While agents can orchestrate complex actions on behalf of the user, they require those skills to be configured and need a degree of hand-holding to perform at their best.

Businesses need to take their employees on the AI journey. They will require training to work with autonomous AI agents because they need context and onboarding much like new employees.

Setting direction, clear goals, and giving feedback ultimately helps AI train itself better.

The future of work is a hybrid workforce

Together, agents with humans will drive customer success. This is what AI is meant to be.

Every company has more jobs to be done than the resources available to do them. As a result, many jobs go unaddressed or uncompleted.

An estimated 41% of employee time is spent on repetitive, low-impact work, and 65% of desk workers believe generative AI will allow them to be more strategic, according to the Salesforce Trends in AI Report.

However, it’s essential for AI agents to understand and execute their expansive capabilities. It’s equally, if not more, important for them to recognize their limitations and understand when human intervention is necessary.

The future of work is a hybrid workforce composed of humans with agents, enabling companies to compete in an ever-changing world. With AI, humans can focus on what’s really important: human relationships.

• Agentforce is how humans with AI drive customer success together, equips organisations with autonomous agents that boost scale, efficiency, and satisfaction across service, sales, marketing, commerce, and more
• New Agentforce Atlas Reasoning Engine autonomously analyses data, makes decisions, and completes tasks, providing reliable and accurate results
• With Agentforce, any organisation can build, customise, and deploy their own agents quickly and easily, with low-code tools 
• New Agentforce Partner Network allows customers to deploy pre-built agents and use agent actions from partners like Amazon Web Services, Google, IBM, Workday, and more 
• Customers like OpenTable, Saks, and Wiley are turning to Agentforce because it is integrated with their apps, works across customer channels, augments their employees, and scales capacity for business needs

Salesforce, the world’s #1 AI CRM, has unveiled Agentforce, a groundbreaking suite of autonomous AI agents that augment employees and handle tasks in service, sales, marketing, and commerce, driving unprecedented efficiency and customer satisfaction.

Agentforce enables companies to scale their workforces on demand with a few clicks. Agentforce’s limitless digital workforce of AI agents can analyse data, make decisions, and take action on tasks like answering customer service inquiries, qualifying sales leads, and optimising marketing campaigns.

With Agentforce, any organisation can easily build, customise, and deploy their own agents for any use case across any industry. The future of AI is agents, and it’s here.

“Agentforce represents the Third Wave of AI—advancing beyond copilots to a new era of highly accurate, low-hallucination intelligent agents that actively drive customer success. Unlike other platforms, Agentforce is a revolutionary and trusted solution that seamlessly integrates AI across every workflow, embedding itself deeply into the heart of the customer journey. This means anticipating needs, strengthening relationships, driving growth, and taking proactive action at every touchpoint,” said Marc Benioff, Chair and CEO, Salesforce.

“While others require you to DIY your AI, Agentforce offers a fully tailored, enterprise-ready platform designed for immediate impact and scalability. With advanced security features, compliance with industry standards, and unmatched flexibility. Our vision is bold: to empower one billion agents with Agentforce by the end of 2025. This is what AI is meant to be.”

In contrast to now-outdated copilots and chatbots that rely on human requests and struggle with complex or multi-step tasks, Agentforce offers a new level of sophistication by operating autonomously, retrieving the right data on demand, building action plans for any task, and executing these plans without requiring human intervention.

Like a self-driving car, Agentforce uses real-time data to adapt to changing conditions and operates independently within an organisations’ customised guardrails, ensuring every customer interaction is informed, relevant, and valuable.

And when desired, Agentforce seamlessly hands off to human employees with a summary of the interaction, an overview of the customer’s details, and recommendations for what to do next.

Industry leaders like OpenTable, Saks, and Wiley are already experiencing the transformative power of Agentforce. For example, Agentforce is helping organisations like Wiley provide customers with dynamic, conversational self-service.

Agentforce is configured to answer questions using Wiley’s knowledge base already built into Salesforce so it can automatically resolve account access. It also triages registration and payment issues, directing customers to the appropriate resources.

With Agentforce handling routine inquiries, Wiley has seen an over 40% increase in case resolution, outperforming their old chatbot and giving their human agents more time to focus on complex cases.

An estimated 41% of employee time is spent on repetitive, low-impact work, and 65% of desk workers believe generative AI will allow them to be more strategic, according to the Salesforce Trends in AI Report. Every company has more jobs to be done than the resources available to do them.

As a result, many jobs go unaddressed or uncompleted. Agentforce provides relief to overstretched teams with its ability to scale capacity on demand so humans can focus on higher-touch, higher-value, and more strategic outcomes.

The future of work is a hybrid workforce composed of humans with agents, enabling companies to compete in an ever-changing world.