Published 1 Dec 2025 · Last reviewed 30 Apr 2026

Armakuni

Q: What is Salesforce Agentforce and how did it benefit Armakuni?

Salesforce Agentforce is an AI agent platform built natively on Salesforce that can autonomously handle customer queries, route cases, and execute multi-step support workflows without human intervention for routine tasks. For Armakuni, Agentforce replaced a fully manual support operation by resolving technical cloud engineering queries instantly, routing complex cases to the right team, and automating customer follow-ups — freeing engineering staff from repetitive support overhead.

Q: How was the Agentforce knowledge base built for Armakuni's technical queries?

Techila seeded the Agentforce knowledge base with Armakuni's existing cloud engineering documentation, FAQ articles, and support runbooks using a retrieval-augmented generation (RAG) pattern. When a customer asks a question, Agentforce retrieves the most relevant knowledge articles and generates a contextually accurate answer — rather than returning a static FAQ link — resulting in higher resolution rates and fewer escalations.

Q: How does intelligent case routing work within Agentforce?

Agentforce classifies each incoming query by topic (platform engineering, DevSecOps, Kubernetes, general support) and complexity (FAQ-resolvable vs. requires human expertise). Queries the AI can resolve are handled autonomously; queries requiring a human are routed to the correct engineering team with full conversation context, prior attempts, and customer record attached — eliminating cold handoffs and repeated customer effort.

Q: What types of cloud engineering queries does Agentforce resolve automatically?

Agentforce handles queries covering: platform and infrastructure FAQs, DevSecOps process questions, Kubernetes configuration guidance, service status and escalation path queries, onboarding and tooling questions, and general cloud-native architecture guidance — any query that can be answered from Armakuni's documented knowledge base without bespoke engineering input.

Q: How does Agentforce handle queries it cannot resolve?

When Agentforce determines a query exceeds its confidence threshold, it escalates the case to a human agent — passing the full conversation transcript, the customer's CRM record, prior resolution attempts, and any data already collected. The human agent inherits a fully contextualised, pre-qualified case rather than starting from scratch, reducing handle time and improving first-contact resolution.

Q: What is the typical implementation timeline for Salesforce Agentforce?

A foundational Agentforce implementation — covering knowledge base ingestion, chatbot configuration, case routing logic, escalation flows, and analytics dashboards — typically takes 6–10 weeks with Techila's senior-led delivery model. For technically complex knowledge bases like cloud engineering, allow additional time for knowledge article curation and accuracy validation before go-live.

Industry

Cloud Engineering & DevOps

Client

Armakuni

Integration

None — native Agentforce build on Salesforce platform

Products Used

Salesforce Agentforce

Armakuni is a UK-based cloud engineering and DevOps consultancy specialising in platform engineering, DevSecOps, and cloud-native architecture. Techila Global Services implemented Salesforce Agentforce to automate Armakuni's customer support — replacing manual query handling with an AI agent that resolves technical FAQs instantly, routes cases intelligently, and escalates with full context when human expertise is needed.

Armakuni is a UK-based cloud engineering and DevOps consultancy specialising in platform engineering, DevSecOps, Kubernetes, and cloud-native architecture for enterprise clients. Techila Global Services — a Salesforce Summit Partner — implemented Salesforce Agentforce trained on Armakuni's cloud engineering knowledge base, enabling instant self-service resolution for technical queries using a retrieval-augmented generation pattern. The programme added intelligent case routing, automated customer follow-ups, and real-time KPI dashboards — replacing a fully manual support workflow and reducing average query resolution time.

Agentforce capabilities deployed

24/7

Automated support availability

Manual steps for common tech queries

[ At a glance ]

Client: Armakuni — UK cloud engineering & DevOps consultancy
Industry: Cloud Engineering · DevSecOps · Platform Engineering
Products used: Salesforce Agentforce
Integration: None — native Agentforce build on Salesforce platform
Key outcome: Instant FAQ resolution · intelligent case routing · automated follow-ups · real-time support analytics
Provider: Techila Global Services · Salesforce Summit Partner

The Brief

5 challenges

Armakuni's customer support relied entirely on manual agent handling: technical queries required human intervention for every response, there was no intelligent routing to direct issues to the right engineering team, customers received no proactive follow-ups, and the team had no real-time analytics to optimise support performance.

High volume of customer inquiries handled entirely through traditional channels — causing response delays and agent overload.

No automated support for technical queries — every question required manual agent intervention, increasing resolution time and engineering team distraction.

No intelligent case routing — customer issues were assigned manually with no logic to match query type or complexity to the right team.

No automated follow-ups or proactive engagement — customers received no updates on case progress, reducing satisfaction and trust.

No real-time support analytics — without visibility into response times, resolution rates, or query volumes, leadership could not identify or address service bottlenecks.

The Approach

Solution

Techila implemented Salesforce Agentforce trained on Armakuni's cloud engineering knowledge base — using a retrieval-augmented generation pattern to resolve common technical queries instantly without human involvement. Intelligent case routing automatically assigns queries by complexity and topic. Automated follow-ups keep customers informed, and real-time KPI dashboards give Armakuni's leadership continuous visibility into support performance.

Salesforce Agentforce chatbot deployed to handle FAQs and technical queries — trained on Armakuni's cloud engineering knowledge base using a retrieval-augmented generation pattern for accurate, context-aware responses.

AI-powered self-service knowledge base integrated with Agentforce — enabling customers to resolve frequent technical queries (platform engineering, DevSecOps, Kubernetes) without opening a support ticket.

Intelligent case routing and escalation management — Agentforce classifies incoming queries by type and complexity, routes to the right engineering team, and escalates unresolved cases with full conversation context preserved.

Automated customer follow-ups and proactive engagement — Agentforce sends status notifications and resolution updates automatically, removing manual chasing from the support workflow.

Real-time analytics dashboards — tracking response time, resolution rates, case volumes, and customer satisfaction scores to give Armakuni's leadership actionable data for continuous service improvement.

Stack & Tools

Salesforce Agentforce

Impact

Armakuni's support operation moved from fully manual to AI-first: customer satisfaction improved through faster response times, technical query resolution time fell as the Agentforce knowledge base deflected common issues, intelligent routing eliminated misrouted cases, and real-time analytics enabled continuous service improvement.

Faster response times and instant resolution for common technical queries — Agentforce deflects FAQ volume from human agents 24 hours a day.

Reduced resolution time for technical queries — AI-powered knowledge base and chatbot-assisted resolution minimised manual intervention from the engineering team.

Optimised support operations — automated case routing and intelligent ticketing eliminated manual assignment and reduced misrouted queries.

Data-driven service improvement — real-time analytics gave Armakuni's leadership continuous visibility into KPIs and the ability to act on support trends proactively.

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