Every action enabled
Nobody limited the list.
Salesforce Agentforce setup for service teams that want automation without surprises
Salesforce Agentforce customer service automation with approved actions, real-case testing and a clean handover
A Salesforce Agentforce agent works inside topics and actions that an administrator defines, and it can hand a conversation to a human through Omni-Channel, so what it may do is a reviewable list and not a promise. BoldBellows records the customer, the case and the topic the agent will work in before it answers, lets the agent act only through actions an administrator approved and hands over to a person on the cues you set, then sets up the agent with your service team: topics are chosen from the cases you actually receive, instructions say what the agent should do in each, the actions it may take are limited to those you have reviewed, such as looking up an order, updating a case or sending a template, the agent is tested against a set of real past cases including awkward ones, and the handover to a person carries the case, the history and the reason it stopped.
View Pricing
From $1,370, paid once. Salesforce Agentforce.
The bar a governed Salesforce route must clear
- Topics from real cases not guesses
- Actions on a short list reviewed
- Tested on real cases including awkward ones
- Handover with context nothing lost
- Honest reporting Failed runs are reported with their cause, not hidden
- No meter running $1,370 covers design, build, tests and handover; nothing accrues afterwards
01 · the all-actions-on problem
An agent with every action enabled is an agent nobody has reviewed
Agents are quick to switch on and slow to make safe. Setup screens invite you to enable everything, write a friendly paragraph of instructions and go live, and the first time the agent offers a refund the policy does not allow, the team finds out from a customer. Topics cover everything and so nothing in particular. Nobody tests against the difficult cases, only the easy ones, and when the agent hands over, the person receives a conversation with no summary and starts again.
Topics too broad
They were not drawn from cases.
Tested only on easy cases
The hard ones were skipped.
- Each notice is trusted as it stands
- The agent can do everything and has been tested on nothing hard
- Handovers arrive without context
- Matching uses the case, the customer and the topic and action used; titles and labels are ignored
- The agent has a short, reviewed list of actions
- Handovers carry the case, history and reason
02 · how it works
How a customer request becomes a resolved case or a handover with context
The sequence is fixed so that a replay reaches the same answer every time.
- 01
Filter at the door
The Salesforce event is authenticated and recorded first; only a Salesforce event that matches the rule continues.
- 02
Match, act, resolve
The request is matched to a topic and the agent acts through its approved actions.
- 03
Stop, hand over, review
When it should stop it hands over with context, and conversations are reviewed.
Salesforce behavior that shapes the AI route
Agents work through actions
A Salesforce Agentforce agent works inside topics and actions that an administrator defines, and it can hand a conversation to a human through Omni-Channel, so what it may do is a reviewable list.
Handover goes through Omni-Channel
A conversation the agent cannot finish is routed to a human agent by Omni-Channel with the case attached, so the customer does not start over.
Reconciliation step
An unsure result is reconciled by matching the case, the customer and the topic and action used in the service agent and recording the verdict.
03 · what ships in the build
The anatomy of a Salesforce to the service agent route, in seven parts
Each layer adds one job: Kickoff decides, Build-out delivers, Review verifies.
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Qualification check
Applies the written qualification rule to each event and keeps the result beside it.
KickoffStable identity ledger
Writes the source key and the run key together, which lets a repeat find the decision already made, for this Salesforce Agentforce Customer Service service.
KickoffMapping documentation
Produces the field map as plain documentation your team can read and keep.
KickoffTopic builder
Turns your common cases into agent topics.
Build-outCase matcher
Checks the case, the customer and the topic and action used in the service agent before any write, which is what makes replays harmless.
Build-outAction and boundary matrix
Lists approved actions and what the agent must not do.
Build-outConversation register
Flags any case whose content no longer mirrors Salesforce, and says since when.
ReviewBoundary monitor
Flags answers that approached a limit.
ReviewException alerts
Notifies the right person when an exception appears, not the whole team.
Review04 · who it's for
Fits technology resellers and whoever must set up an Agentforce service agent you can trust: choose the topics it covers, write its instructions, limit its actions to a reviewed list, test it on real cases and hand over to a person cleanly
Customers want a quick, correct answer and a person when it matters, and service teams want an agent they can trust.
Service director
"Resolve more, risk less."
Actions are on a short list.
Service agent
"Take over cleanly."
The case arrives with context.
Customer
"Get my answer fast."
The agent handles the simple.
Administrator
"Control what it can do."
Actions are reviewed.
Compliance lead
"Keep it inside policy."
Boundaries are written.
QA lead
"Test on real cases."
Past cases are the test.
What changes the price: topics, actions and handovers
Shape the Salesforce to the service agent scope, price updates as you go
Three short decisions set the scope of the Salesforce AI route. Read the price and delivery range as you go, from $1,370.
View Pricing
- One setup fee
- Range shown first
- PDF handover included
05 · compare your options
Side by side: an agent switched on with every action available, a zap and an Agentforce service agent with a short list of approved actions
Each can answer a chat. Only one limits its actions, tests on real cases and hands over with context.
| How it is set off | an agent switched on with every action available | A basic two-step zap | A route built around a Salesforce Agentforce service agent |
|---|---|---|---|
| What starts the work | An owner checking daily | Any update at all | Approved Salesforce events only |
| How identity is decided | Decided case by case | The display text | Case, customer and the topic and action used |
| What reaches the service agent | A fraction of the record | A minimal record | A resolved case, or a handover with the case, history and reason |
| After an uncertain result | Re-run and hope | Retries on a timer | Proves the outcome before repeating anything |
A delayed event meets a newer record
The stored time of the last confirmed change guards every write, so a late event cannot regress the case.
A customer asks for something outside every topic
The agent says it cannot help with that, hands over to a person with the request and the history, and the topic gap is logged for review. Searching the service agent on the case, the customer and the topic and action used shows whether the case is already there, and whether it is right. Nothing new is created unless the lookup comes back empty.
We begin by fixing the case, the customer and the topic and action used, and every test afterwards checks that it still holds.
Pricing
Build your Salesforce AI Agentforce Customer Service price
Pick a package, answer three short questions about how Salesforce data should reach AI Agentforce Customer Service, and your price and turnaround move as you choose.
06 · process & getting started
Six steps from a switched-on agent to a trusted one
Six steps from kickoff to a monitored route, each with a written result.
- Step 01
Read your cases
We group a quarter of cases by type and pick the ones an agent can safely handle.
- Step 02
Approve access
Scoped permissions for Salesforce, an approved model provider and a list of decision keys are put in place first.
- Step 03
Agree the boundaries
Topics, instructions, approved actions, handover cues and the test set are written out and approved first.
- Step 04
Acceptance runs
Normal and awkward records are pushed through a test the service agent, and you sign off the results before go-live.
- Step 05
Launch with notes
The last step is release: a defined start, a review window and a PDF you can keep.
- Step 06
Close the loop
A final review confirms the success measures agreed at the start and records what to watch next.
07 · turnaround
How long the AI Agentforce Customer Service packages take
The count begins when Salesforce access, the model and the approval path are agreed.
Kickoff
6 to 10 business days
Build-out
10 to 16 business days
Review
16 to 24 business days
08 · before we start
What we ask of you
Authorization to reach the Salesforce objects in scope
A Salesforce org with Agentforce available, a quarter of recent cases and an administrator who can approve actions
The Salesforce account owner's sign-off for the connection
A list of the statuses or stages that matter to you
A short description of how the team works in the service agent today
Your retention rule for anything the route logs
09 · security and ownership
Only listed fields move, and every permission is explained
A narrow set of Salesforce fields is passed to the model, its answer is checked against a schema, and nothing is written without the approval you set.
Outside the core
The route runs beside Salesforce and the service agent, not within them, so neither vendor's own updates collide with it.
Scoped, revocable access
Permissions are written down, minimal and reversible.
Only approved values cross
What appears in the service agent is exactly what the field map lists, and the map is part of the handover.
Doubtful writes are verified
If a response goes missing, the service agent is searched by the case, the customer and the topic and action used and the outcome recorded before anything else happens.
Minimal logging
Evidence of a run is kept as references, not as copies of data.
Full handover
The PDF names each rule, credential and owner so your admins are never guessing.
10 · verified reviews
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and sales to support and operations.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
11 · questions
Salesforce Agentforce service: what service leaders ask
We collected the questions that decide most purchases and answered them.
What extra does this give over a Salesforce step that simply asks a model?
Common service requests resolved quickly and safely, with people handling what needs judgment is easy. The hard part, which a zap skips, is to limit what the agent can do, test it on real cases or hand over without losing context. That is the extra we deliver on top of the trigger.
What can the agent do?
Only the actions you approve.
How is it tested?
On real past cases, including difficult ones.
Can it hand over to a person in the Salesforce Agentforce Customer Service service?
Yes, through Omni-Channel with context.
Who reviews conversations?
Your QA lead, from the register.
Can topics be added later?
Yes, one at a time.
Does it change records?
Only through approved actions.
Do you map Salesforce fields to the prompt?
Mapping is built into the price: the Salesforce Workflow fields the model may read are listed, and anything missing from the list never reaches it.
Can low-risk proposals skip a person on the Salesforce Agentforce Customer Service service?
Yes. Your own policies decide what the model may see and propose in Salesforce. Entry pricing is $1,370.
Who looks after the route after launch in the Salesforce Agentforce Customer Service service?
The handover lists every interface the route uses. If one changes, the affected item stops and is flagged instead of being written from a guess. Repairs after your review window are quoted separately. If you searched for custom salesforce agentforce customer service automation, this is the service that delivers it.
Put an Agentforce agent to work, with limits
Give your customers an agent that knows its job and its limits
A trigger, a proposal and an approver are enough to scope the Salesforce AI route. It starts at $1,370.
Unusual volumes or extra systems are quoted on request.