Move beyond automation, into intelligence. We design and deploy AI-powered agents directly into your Salesforce environment, handling conversations, guiding decisions, and executing actions in real time.
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Before building, we map your processes, identify high-impact automation opportunities, and define a clear Agentforce roadmap, prioritizing quick wins across sales, service, operations, and customer engagement without sacrificing long-term scale.
Purpose-built agent personas, conversation flows, and decision trees, with defined triggers, escalation paths, fallback logic, and tone guidelines that make every interaction feel natural, reliable, and on-brand.
We configure Agentforce within your org and extend it with Apex, Flows, and LWC where standard capabilities fall short, dynamic responses, real-time data retrieval, action execution. Agents that don't just talk, they get things done.
CRM records, external APIs, ERP systems, knowledge bases, third-party platforms, we connect your agents to the data they need so every interaction is informed, accurate, and triggers the right downstream process.
Structured testing across real conversations, edge cases, and failure scenarios before anything goes live, prompt engineering, response accuracy reviews, and benchmarking so your agents behave predictably and improve over time.
Admin enablement, performance dashboards, and ongoing optimization support, so your team can manage, monitor, and evolve Agentforce independently as your business grows.
Let's map out your implementation in a free 30-minute strategy call. No pressure. Just clarity.
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Queries piling up, response times slipping, reps buried in repetitive low-complexity interactions. Agentforce handles routine requests, triages cases, and resolves common issues instantly, so your team focuses on conversations that need a human.
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Leads go cold between touchpoints. Follow-ups are delayed, next steps get forgotten, and pipeline visibility suffers because reps are managing too many conversations manually. Agentforce keeps every prospect engaged sending timely responses, surfacing the right information, and triggering the right actions without waiting for a rep to remember.
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Leads go cold, follow-ups get forgotten, pipeline visibility suffers. Agentforce keeps every prospect engaged, timely responses, right information, right actions, without waiting for a rep to remember.
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HR queries, IT tickets, policy lookups, approval requests, the same questions, answered manually, every week. Internal Agentforce agents eliminate the back-and-forth with instant, accurate responses directly within Salesforce.
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Disconnected AI generates generic responses that miss context and require manual follow-up. Agentforce puts AI where your data already lives, agents that understand your customers, products, and processes without switching platforms.
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The opportunity is clear, the path isn't. We bring the roadmap, architecture, and hands-on delivery to get your first Agentforce deployment live without the guesswork.
Service agents that resolve common queries instantly, route complex cases to the right human, and maintain full conversation context, so your team stops firefighting volume and starts focusing on relationships that matter.
Intelligent sales agents that monitor activity, trigger follow-ups, surface CRM data, and guide prospects to the next step without waiting for a rep to intervene. Your team closes, Agentforce engages.
Onboarding agents that guide every customer through setup in real time same high-quality experience whether you're onboarding ten customers or ten thousand, escalating to humans only when genuinely needed.
HR queries, IT tickets, approval workflows, resource lookups, internal Agentforce agents handle repetitive requests instantly, directly inside Salesforce, freeing your teams for work that actually moves the needle.
Agentforce integrated with CRM records, external APIs, knowledge bases, and backend systems, every interaction grounded in real-time information, every action triggering the right process automatically. No disconnected tools, no manual follow-up.
Use case discovery, architecture design, configuration, testing, go-live, we guide the full journey, remove the guesswork, and stay engaged through adoption to ensure measurable impact from day one.
We want to get to know you and your organization, so we listen. Rest assured that you’ll be heard, supported, and empowered throughout projects and beyond.
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Client satisfaction that speaks for itself, earned across every engagement, without exception.
Successful Salesforce implementations spanning startups to global enterprises, across industries and time zones.
Platform specialists, not generalists. Deep Salesforce expertise across every cloud and product family.
Real, active credentials across every Salesforce cloud, not a one-time badge, continuously renewed as the platform evolves.
Car Trackers ditched manual FedEx portal workflows by integrating Astonous Ship into Salesforce — automating label creation, customer emails, and shipment tracking for every DMV paperwork transaction.
CLS Brands partnered with Astonous to launch a Salesforce Digital Experience Portal, giving suppliers real-time visibility into orders, shipments, and inventory while dramatically reducing internal support workload.
Michael Malul partnered with Astonous to implement a full Salesforce Sales Cloud solution, transforming distributor onboarding, invoicing, shipping, and inventory into one seamless, automated operation.
Discover how our solutions have transformed businesses through innovative technology and dedicated support.
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"We implemented this shipping integration for both FedEx and UPS and it has been a game changer for our operations. It cut our shipping preparation time by more than half, significantly improving efficiency and workflow. The support team is truly five star they handled the entire setup seamlessly and are extremely responsive whenever assistance is needed."
"Astonous has been a major upgrade from our previous solution, which was outdated, unreliable, and lacked proper support. It offers a much more intuitive interface, robust tracking, and the flexibility we need for evolving logistics. The seamless integrations and highly responsive support team have significantly improved our shipping efficiency and accuracy for both domestic and international operations."
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"Astonous replaced our previous shipping solution with a much better, right-fit system. Their team understood our needs, delivered exactly what we required, and made the transition smooth. Very happy with the results."
"The team was highly supportive and worked closely with us to ensure a great app experience. They respond quickly to any issues and continuously roll out new features, making the overall experience even better."
Salesforce Agentforce helps businesses create AI agents that can answer questions, assist employees, support customers, and complete approved tasks in Salesforce.
Unlike a basic chatbot that only provides scripted answers, an Agentforce agent can use your Salesforce data, follow business rules, trigger workflows, and take actions such as updating a record, creating a task, checking an order, or escalating a customer request.
Agentforce is most useful when your team spends significant time answering repetitive questions, searching for information, updating records, or moving work between systems.
Common Agentforce use cases include:
The right use case depends on your business process, data quality, expected volume, and the outcome you want to improve. See a working demo for a retail industry to generate quote - https://www.astonous.com/blogs/ai-powered-quote-creation-with-salesforce-agentforce
Start with the business problem, not the AI technology.
A suitable Agentforce use case usually has a clear task, reliable source data, repeatable business rules, and a measurable outcome. Examples include reducing support response time, improving lead follow-up, or helping employees find information faster.
During discovery, we review the process, expected users, data, security requirements, exceptions, and human handoff points before recommending whether Agentforce is the right solution. Salesforce also recommends defining the business outcome and scope before designing the technical solution.
We normally recommend starting with one focused use case rather than trying to introduce AI across the entire organisation at once.
A first implementation should solve a real business problem, use dependable data, and be simple enough to test with a small user group. Once the agent is producing useful and measurable results, additional tasks and departments can be added gradually.
This approach reduces risk and gives your team practical experience before making a larger investment.
Yes. Agentforce can work with Salesforce records, Knowledge articles, Flow, Apex, prompt templates, and other existing platform capabilities.
Before building anything new, we review your current Salesforce configuration to identify automations and business logic that can be reused. Existing automation must also be checked for security, performance, and suitability before an AI agent is allowed to trigger it.
It depends on the agent and the information it needs.
Some Agentforce use cases can rely mainly on information already available in Salesforce. Other use cases may need Data 360 to bring together structured and unstructured information from Salesforce and external systems.
We assess the required data sources during discovery and recommend only the products and architecture needed for the selected use case. Licensing requirements should be confirmed for the specific agent being implemented.
Yes. An Agentforce agent can be designed to work with external applications through APIs, MuleSoft, Salesforce Flow, Apex, middleware, or other approved integration methods.
For example, an agent could retrieve an order from an ERP system, check shipment status through a carrier API, or create a support request in another platform.
External actions require careful handling of authentication, access permissions, response time, errors, and system availability.
Agentforce follows Salesforce access controls and works with the Einstein Trust Layer. The agent should only be given access to the records, fields, actions, and information needed for its assigned job.
Security still depends on correct implementation. The implementation team is responsible for defining permissions, instructions, guardrails, data access, and approved actions. Sensitive or high-risk actions may also require human confirmation.
Salesforce states that the Einstein Trust Layer applies a zero-data-retention policy to third-party large language models used through Agentforce. This means customer prompts and responses are not retained by those third-party models for training.
We still review what information the agent can access and avoid exposing data that is not required for the use case.
No AI system should be launched without testing and clear boundaries.
We reduce the risk of incorrect responses by grounding the agent in approved business information, limiting what it can access, writing clear instructions, defining actions carefully, and testing realistic customer and employee questions.
We also identify situations where the agent should ask for more information, refuse an unsupported request, or transfer the conversation to a human.
Yes. Human handoff should be included whenever a conversation becomes complex, sensitive, uncertain, or requires approval.
For customer service implementations, we define when the AI agent should continue, when it should collect information, and when it should transfer the conversation. The human agent should receive enough context to continue without asking the customer to repeat everything. Salesforce supports routing and escalation as part of agent planning and channel deployment.
A focused Agentforce pilot may take a few weeks. A production implementation involving several use cases, external integrations, complex data, multiple channels, or strict compliance requirements will take longer.
The timeline normally depends on:
After discovery, we provide a phased implementation plan with clear milestones and responsibilities.
The implementation cost depends on the use case, number of agents, required actions, data sources, integrations, channels, testing requirements, and the condition of your current Salesforce org.
We normally begin with a discovery session and then provide an estimate covering solution design, configuration, development, testing, deployment, training, and post-launch support.
Salesforce product and usage charges are separate from implementation services. Agentforce pricing may include consumption-based or licence-based components depending on the selected products and usage.
The required licences depend on the type of agent, where it will be used, what information it needs, and which Salesforce products are involved.
We review your existing Salesforce licences and proposed use case before recommending additional products. Final licensing and consumption details should also be confirmed with your Salesforce account representative.
Yes. A proof of concept is often the best way to evaluate Agentforce before committing to a wider rollout.
The proof of concept should use a real business scenario and clear success criteria. It should demonstrate whether the agent can find the correct information, follow instructions, complete approved actions, and provide a useful experience.
A proof of concept is not the same as a production launch. Security, testing, monitoring, exception handling, and deployment controls must be completed before the agent is made available to a wider audience.
Success should be linked to business results rather than the number of AI conversations.
Depending on the use case, useful measurements may include:
We define the baseline and success measures before implementation so that the value can be reviewed after launch.
Agentforce can be deployed across different employee and customer channels depending on the selected agent, Salesforce products, and licensing.
Possible channels include Salesforce, websites, customer portals, Slack, messaging, email, and service experiences. We recommend selecting the first channel based on where users already work and where the agent can provide the clearest value.
Yes. We can review an existing Agentforce implementation that is not giving reliable answers, completing the right actions, or receiving sufficient user adoption.
The review may cover agent instructions, data grounding, actions, Flow and Apex automation, permissions, integrations, test coverage, conversation history, escalation rules, and usage.
We then provide a prioritised plan to improve accuracy, security, user experience, and measurable business value.
After launch, an Agentforce implementation needs regular review. Business information changes, new questions appear, processes evolve, and users may interact with the agent in unexpected ways.
Post-launch support can include:
A phased improvement process is safer than treating the agent as a one-time implementation.
Astonous approaches Agentforce as a business and Salesforce implementation project, not simply as an AI configuration exercise.
Our team reviews the business process, Salesforce architecture, existing automation, data quality, security, integration requirements, and expected return before building the agent. We use standard Salesforce capabilities wherever practical and add custom development only where it provides clear value.
Astonous can support discovery, proof of concept, implementation, integration, testing, deployment, training, and ongoing Agentforce optimisation.
Yes. Astonous works remotely with customers and consulting partners in different regions.
Before the project begins, we agree on working-hour overlap, meeting schedules, communication channels, responsibilities, demonstrations, testing, and escalation procedures. Customers receive regular progress updates and visibility into decisions, risks, and upcoming work.
We can work directly with your internal team or act as an India-based Salesforce Agentforce delivery partner for another consulting company.
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