Agentforce Service Framework
Don't Replace Your Salesforce.
Let Trigg Unlock It.
Trigg Digital's outcomes-first strategy for migrating legacy Salesforce Service Cloud customers to Agentforce Service. Zero discovery fee. Data-backed proof from your own environment before you pay a single invoice.
Zero discovery fee
48-hour sandbox evaluation
Fixed-boundary packages
Autonomous resolution target: 90%
Practical outcomes. Predefined packages. Complete delivery velocity.
£0Discovery fee — Trigg carries all risk
48hrSandbox evaluation turnaround
90%First-contact resolution target
3Fixed-price engagement packages
The Challenge
The enterprise service market has fundamentally split.
Organisations burdened by legacy, heavily customised Salesforce Service Cloud implementations are realising a harsh truth: their setups are clunky, expensive to maintain, and failing to deliver expected ROI. They are trapped in a model where a 15% increase in ticket volume requires a 15% increase in human headcount — a completely linear, unsustainable cost structure.
😩
Underwhelmed Existing Customers
Businesses barely scratching the surface of their old Service Cloud instances, weighed down by years of custom APEX code and fragmented process builders. They are paying premium licence fees for a fraction of the platform's actual capability — and feeling the gap widen every quarter.
⚠️
Customers at the Cusp of Attrition
Organisations actively considering leaving Salesforce due to a perceived lack of value from their current implementation. The platform is not the problem — the implementation is. Trigg can reverse this trajectory before a costly, disruptive migration occurs, turning attrition risk into renewal confidence.
🚀
Greenfield Visionaries
New customers looking to deploy an "Agentic-first," autonomous digital service centre from Day 1 to gain an unfair operational advantage. These organisations skip the legacy debt entirely and build on a modern, AI-native foundation — achieving in weeks what competitors spent years trying to retrofit.
68%
Overall Readiness Score — typical legacy Service Cloud baseline
First-Contact Resolution Rate47%
Knowledge Base Readability Score52%
Automation Opportunity Identified81%
Flow-to-Action Conversion Ready64%
Indicative metrics derived from Trigg Digital's proprietary diagnostic tooling across Agentforce engagements.
The Agentic Shift
3 Core Structural Shifts Powered by Agentic AI
Traditional customer service models are breaking under the weight of modern consumer expectations and operational inefficiencies. To succeed, organisations must shift from old-world paradigms to Agentforce's autonomous architecture.
"Deflection"
→
"Resolution"
From Deflection to Full Autonomous Resolution
Legacy chatbots and IVR systems were built to deflect customers away from human agents, not to genuinely resolve their issues. Agentforce eliminates deflection as a metric entirely — replacing it with a measurable Autonomous Resolution Rate (ARR) that tracks full case closure without human intervention.
Linear Costs
→
Flat Scaling
From Linear Cost Curves to Flat Scaling Economics
Every 15% growth in ticket volume no longer requires a 15% growth in headcount. Agentforce decouples volume from cost entirely — enabling organisations to handle 10× the case volume with the same engineering footprint and zero incremental recruitment cycles or operational burnout.
Tier-1 Centre
→
High-Value Team
From Bloated Tier-1 Centres to Lean, High-Value Teams
The traditional high-turnover Tier-1 contact centre — consuming the majority of operational budget on low-complexity, repeatable interactions — is replaced by a lean, highly skilled human team focused entirely on high-value retention conversations, complex escalations, and upsell opportunities.
The Sandbox Evaluation
A zero-cost 48-hour proof of concept from your own environment.
Before a single commercial invoice is raised, Trigg executes a fully funded, 48-hour technical diagnostic directly inside the client's own Salesforce sandbox. Read-only access to the org is all that's needed. Trigg's engineers audit the existing architecture, assess knowledge base quality, and deploy a working Agentforce prototype — all delivered back as the Agentforce Blueprint Report.
01
Access & Audit
Read-only sandbox access granted. Trigg audits Service Cloud architecture, existing knowledge base structure, current automation coverage, and data quality — all within the first 24 hours.
02
Prototype Build
A functional working Agentforce digital worker is deployed directly inside the client's sandbox — interacting with their exact data, cases, and knowledge base to demonstrate real autonomous resolution capability.
03
Blueprint Report
The Agentforce Blueprint Report is delivered: an explicit ARR projection, expected cost reduction analysis, live prototype demo, and a direct package recommendation — before any commercial commitment is made.
Commercial Reframing
Fixed Boundary, Time-Boxed Capacity Model.
To give buyers complete budget certainty while preventing margin erosion from out-of-bounds requirements, Trigg structures its productised offers using a Fixed Boundary, Time-Boxed Capacity model — complete transparency for the client, commercial protection for Trigg.
🔒
The "Clean Data" Prerequisite Gate
Engagement timelines and base investments only activate once a baseline data readiness index is verified during evaluation. If core Knowledge Base infrastructure requires data cleansing, a separate "Data Prep Sprint" must be executed first — protecting delivery velocity and outcome integrity.
⏱️
Time-Boxed Calendar Windows
Each package is strictly boundaried by a maximum calendar window and capped engineering hours. Client-side delays — credential provisioning, API access issues, delayed sign-offs — freeze the calendar window but continue to count against the available consulting hour pool.
🔗
Rigid Integration Boundaries
Connectivity limits are enforced. Integrations with external systems must leverage modern, documented REST APIs or pre-configured Salesforce Named Credentials. Custom middleware, SOAP legacy API transformations, and third-party debugging are strictly excluded from base package pricing.
🧠
Intent & Complexity Limits
Intents are clearly tiered to prevent scope creep. Standard intents are single-turn, read-only data fetches. Complex intents utilise multi-turn autonomous reasoning and write-back execution. Any intent logic requiring more than 3 conditional execution branches is automatically routed into a Change Request pool.
£0
Discovery fee — Trigg carries all upfront evaluation risk
48hr
Sandbox evaluation turnaround from access grant
3
Fixed-price, time-bounded engagement packages
90%
First-contact resolution target with Agentforce
The Packages Suite
Three Packages. One Clear Path Forward.
A single unified view of the productised engagement offerings designed to match market velocity with commercial certainty. Each package is fully scoped, time-bounded, and commercially fixed — no surprises, no scope creep, no margin erosion.
🚀
Trigg Launchpad
SMB / Entry-Level
Drowning in routine frontline ticket volumes. Requires an immediate rapid win to replace basic, legacy chatbot setups and demonstrate autonomous resolution capability quickly.
4 Weeks
Delivery
£25,000
Base Investment
50 hrs
Eng. Hours Cap
Scope Boundaries
- Deploys 1 Core Digital Worker across Web Chat and Email channels
- Configures 3 Standard Intents (e.g., Order Status, Password Reset, Routing Triage)
- Knowledge ingestion of up to 50 articles via standard Salesforce connectors
- Includes 1 Admin & Agent training enablement session for client team
- Capped at a maximum of 50 consulting engineering hours — no overruns
Most Popular
⚡
Trigg Catalyst
Commercial / Mid-Market
Battling under linear cost-to-scale constraints. Ready for cross-system autonomous workflow action and omni-channel deployment with real external integrations delivering measurable ROI.
6–8 Wks
Delivery
£40,000
Base Investment
140 hrs
Eng. Hours Cap
Scope Boundaries
- Deploys up to 2 Specialised Digital Workers across omni-channel touchpoints
- Configures 6 Complex Intents requiring autonomous multi-turn workflow adjustments
- Integrates with 1 External System (e.g., ERP, Shopify) via documented REST APIs
- Data Cloud unification linking CRM data with 1 external source for unified profiles
- 2 Weeks of dedicated Hypercare engineering support post go-live
- Capped at a maximum of 140 consulting engineering hours
🌐
Trigg Horizon
Large Scale / Enterprise
Burdened by complex customisations and accumulated technical debt. Bound by strict multi-region compliance requirements and multi-language needs at enterprise scale.
12–14 Wks
Delivery
£95,000+
From
Bespoke
Eng. Hours
Scope Boundaries
- Deploys a Unified Multi-Agent Ecosystem with agents collaborating safely at scale
- Unlimited Intents across all digital channels plus full Voice/IVR integration
- Deep Data Cloud integration spanning multiple structured enterprise data lakes
- Custom APEX action engineering and bespoke API orchestration into legacy systems
- Multi-language localisation and data masking guardrails for GDPR/HIPAA compliance
- Custom Client Center of Excellence (CoE) Training Academies for internal capability building
Delivery Lifecycles
Predefined Implementation Lifecycles. Zero Ambiguity.
Each package maps directly to a predefined implementation lifecycle, ensuring complete predictability for client IT departments and high-margin, repeatable delivery for Trigg's engineering squads. Every phase is named, scoped, and time-bounded before engagement begins.
Week 1
Sandbox Evaluation & Blueprint Delivery
The zero-cost 48-hour technical diagnostic is executed. Outcomes are compiled into the Agentforce Blueprint Report, the engagement scope is confirmed against the findings, contracts are signed, and production environment access is provisioned. Discovery is complete — execution begins immediately.
Week 2
Data Grounding & Ingestion
Connect Data Cloud standard connectors to the existing knowledge base, ingest up to 50 articles, and configure basic Einstein Trust Layer masking. Foundational data architecture is validated and formally signed off before proceeding to topic configuration.
Week 3
Core Topic Setup & Testing
Configure the 3 core intents, wire the standard human-agent transfer routing logic, and execute a rigorous 2-day UAT sprint with client stakeholders. Issues are surfaced, triaged, resolved, and signed off before any go-live decision is made.
Week 4
Go-Live & Handover
Production deployment across up to 2 live channels. 1-day immersive team training session for administrators and agents. 3 days of active post-launch monitoring and optimisation with Trigg engineers on standby. Full documentation pack and knowledge transfer completed at handover.
Week 1
Sandbox Evaluation & Architecture Planning
48-hour diagnostic executed. Full system architecture design produced to accommodate 2 digital workers and external system integration. API documentation reviewed, integration feasibility confirmed, and Data Cloud schema mapping initiated. Commercial contracting finalised and dedicated squad assigned.
Weeks 2–3
Data Harmonisation & API Wiring
Map Data Cloud schemas across CRM and 1 external database to create a unified data model. Build or repurpose existing Salesforce Flows and MuleSoft endpoints to establish automated backend "Actions" — the executable building blocks that Agentforce agents trigger autonomously to resolve cases.
Weeks 4–5
Reasoning Design & Prompt Tuning
Build out autonomous reasoning rules for all 6 complex intents with precise branching logic and fallback handling. Fine-tune system instructions to match the client's brand voice, escalation thresholds, and regulatory guardrails. Deploy digital workers across all omni-channel touchpoints.
Weeks 6–7
Human Shadowing & Red Teaming
Run adversarial simulations designed to test the boundaries of agent reasoning, surface edge cases, and expose failure modes before live traffic exposure. Configure supervisor monitoring consoles for full real-time visibility. Complete full client UAT sign-off with documented acceptance criteria.
Week 8
Phased Go-Live & Optimisation
Open channels to 15% of live traffic on Days 1–3, validating resolution rates, then scale to 100% traffic by Day 5. Launch the advanced analytics dashboard for ongoing performance visibility. Begin 2 weeks of Trigg Hypercare engineering support with guaranteed SLA.
Week 1
Enterprise Architecture Design & Contracting
Extended sandbox diagnostic covering enterprise-scale complexity across all operating regions. Multi-agent architecture blueprint designed with cross-routing logic mapped. Compliance and data residency requirements assessed. Full enterprise Statement of Work agreed with legal review.
Weeks 2–4
Enterprise Architecture & Data Lakes
Unify Data Cloud schemas across multiple enterprise data lakes — AWS S3, SharePoint, internal DWH, and proprietary stores — into a coherent, queryable unified profile layer. Establish multi-language compliance frameworks and PII masking guardrails to meet GDPR, HIPAA, and regional data sovereignty requirements.
Weeks 5–7
Custom Action Engineering
Write custom APEX classes and build bespoke APIs connecting Agentforce directly into core legacy systems with full error handling and retry logic. Every custom action is unit-tested, integration-tested, load-tested, and documented to enterprise engineering standards before promotion.
Weeks 8–10
Ecosystem Tuning & Voice Integration
Configure multi-agent cross-routing logic so specialist digital workers hand off to one another seamlessly. Deploy global omni-channel touchpoints across all markets. Integrate voice and IVR environments so the agentic layer extends to telephony — completing a fully unified, channel-agnostic service surface.
Weeks 11–12
Scale UAT & Training Academies
Run multi-region automated testing matrices covering all intent paths, escalation flows, compliance guardrails, and performance benchmarks under peak-load conditions. Establish an internal Center of Excellence via a custom client Training Academy equipping the client's own team to own and govern the platform independently.
Weeks 13–14
Managed Rollout & Scale
Execute a highly controlled, phased regional rollout — opening traffic by geography, business unit, or channel type. Track real-time token optimisation and latency benchmarks continuously. Provide 4 weeks of high-touch engineering Hypercare with dedicated Trigg engineers on standby across all regions.
Business Impact & ROI
Measurable Outcomes. C-Suite Conversations.
When presenting this proposition to the C-suite, Trigg centres the conversation entirely around measurable operational outcomes. The transition from human-first legacy architectures to an Agentic-first framework completely redefines core contact centre metrics — shifting from linear cost curves to flat, dynamically scalable operating models.
| Operational Metric | Legacy Service Cloud | Trigg Agentforce Target |
|---|---|---|
|
First-Contact Resolution (FCR)
Percentage of cases resolved on first contact, no transfer
|
40% – 50%
Siloed channels and high queue drop-offs mean most customers need multiple contacts or escalations to reach resolution
|
75% – 90%
Instant, autonomous AI resolution with full context — no transfers, no queues, no repeated information requests from the customer
|
|
Average Handle Time (AHT)
Time from case open to full resolution across all channels
|
Minutes or Hours
Manual data fetching, screen-switching between systems, and human verification chains inflate every interaction
|
Seconds
Instantaneous CRM data processing and API triggers execute resolutions faster than any human workflow can be initiated
|
|
Operational Scaling Cost
Cost relationship between ticket volume growth and headcount
|
Linear
Every 15% increase in ticket volume requires a corresponding 15% increase in human headcount — an indefinitely unsustainable cost curve
|
Flat
Scales dynamically with zero marginal labour cost — handle 10× the volume with the same engineering footprint and no recruitment cycles
|
|
Support Team Footprint
Composition and capability of the customer service organisation
|
Bloated Tier-1 Centre
High-turnover Tier-1 contact centre consuming the majority of operational budget on low-complexity, transactional, repeatable interactions
|
Lean, High-Value Team
Highly skilled human team focused entirely on high-value retention conversations, complex escalations, and upsell opportunities that drive revenue
|
By deploying digital labour to manage high-volume transactional work, human agents are freed from operational burnout and repetitive task fatigue. When an escalation does occur, the Agentforce digital worker passes a full conversational summary, sentiment index, and next-best-action recommendation directly to the human representative's console — enabling them to deliver high-value empathy, nuanced problem-solving, and relationship-building that drives measurable retention and revenue impact. This is the Trigg model: digital labour handles the volume, human talent handles the value.
Get Started
Start Your Zero-Cost Sandbox Evaluation.
No discovery fee. No commitment beyond access to your sandbox. Just data-backed proof derived from your actual Salesforce environment — delivered in 48 hours. Trigg carries all the risk. You make the decision with hard evidence in hand.
Typically scheduled within 5 business days of initial conversation.
Agentforce Blueprint Report
ARR projection, cost reduction analysis, live prototype demo, and a direct package recommendation — before any commercial invoice is raised.
Fixed-Price Package Match
A direct, justified recommendation matching your organisation to one of three predefined engagement packages — with complete scope, timeline, and investment clarity.
Working Sandbox Prototype
A functional Agentforce digital worker deployed directly inside your own sandbox — interacting with your exact data, cases, and knowledge base as live proof of concept.
Predefined Implementation Lifecycle
A clear, time-bounded delivery path from sandbox evaluation to autonomous resolution at scale — zero ambiguity, zero scope creep, complete commercial certainty.
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