AI Agents & Agentforce Implementation

What our Agentforce consultants deliver

AI agents are software that takes real action — answering customers, qualifying leads, booking meetings, and resolving service cases without a human driving every step. As an official Salesforce Partner, Apexify designs and implements AI agents for business on Salesforce Agentforce, and on custom frameworks when Salesforce is not your platform.

Every engagement produces working agents in production, not a slide deck. Typical deliverables:

• Agentforce setup and guardrails — topics, instructions, and escalation rules that keep agents on-script
• Custom agent workflows — multi-step jobs like lead qualification, order status, and case deflection
• Tool and API actions — agents that update records, trigger flows, and call external systems
• Knowledge grounding — answers pulled from your CRM data and documentation, not model guesswork
• Human-in-the-loop controls — approval gates and handoff paths for anything high-stakes
• Testing and monitoring — evaluation suites that measure accuracy before and after launch

Agents can run in your service console, on your website, in Slack, or over email — wherever the work already happens. We treat every deployment as software: version-controlled instructions, test suites, and a rollback path, because an agent acting on live customer data deserves the same rigor as any production release.

How an Agentforce implementation runs

A typical Agentforce implementation moves from scoping to a live pilot in weeks, not quarters. We start narrow — one high-volume use case with a measurable outcome — and expand once the numbers prove out.

Scope. We map the jobs an agent should own, the data it needs, and the actions it is allowed to take. This is also where we say no to use cases that are not ready — low volume, undocumented process, or data the agent cannot trust. The output is a one-page agent charter: jobs, permissions, escalation rules, and the metric that defines success.

Ground. We connect the agent to your knowledge sources and CRM data, and clean up what it will read. Weak data is the most common reason agents fail; if yours needs work, our data engineering team fixes it first.

Build and test. Topics, instructions, actions, and guardrails are built and then tested against real conversation transcripts and deliberate edge cases before any customer sees the agent.

Pilot and measure. A limited launch with clear metrics — resolution rate, deflection, handoff quality. We tune until the numbers hold, then expand the agent's scope and channels. Guardrails are re-reviewed with your team before every expansion.

Why Apexify for AI agents

We build agents on the platform where your customer data already lives. As a Salesforce Partner, our Agentforce consultants work inside Service Cloud, Sales Cloud, and Data Cloud every day — so agents plug into your existing routing, flows, and reporting instead of sitting beside them. When Salesforce is not the right home, we build on custom frameworks and say so plainly.

This service fits teams with high-volume, repeatable work: support queues, lead follow-up, order and appointment handling. If your volume is low or your processes are undocumented, we will tell you — and often recommend starting with intelligent automation instead, then adding agents once the groundwork exists.

Apexify is headquartered in Calgary and works with clients across Canada and the US, remote-first, with 20+ years of combined team experience and a 98% client satisfaction rate. An agent project is a guided climb — the route matters as much as the destination, and we have made this climb before.