Agentforce development services
AI agents inside Salesforce that do real work, built by a team that ships both Salesforce and production AI, and will tell you honestly which one you need.
Get an Agentforce readiness assessmentWhat is Agentforce development?
Agentforce or a custom agent? We build both, so we'll tell you straight.
Agentforce wins when the work lives in Salesforce: CRM-context answers, record actions, org permissions, and speed to deploy matter more than flexibility. A custom agent wins when the workflow spans systems Salesforce doesn't own, when you need model choice and eval depth beyond the platform's rails, or when consumption pricing doesn't survive your volume math. Plenty of real answers are both: Agentforce at the CRM edge, a custom agent behind it. We build custom agents and Agentforce, so the recommendation follows your workflow, not our bench.
What we build.
Readiness and data grounding
An agent is only as good as the records and knowledge it stands on; we fix the data layer before the demo, not after the complaints.
Agent design and topic architecture
Instructions, topics, and escalation paths designed like software, not written like marketing copy.
Custom actions
The Apex, Flows, and API integrations that let an agent actually do things: quote, schedule, update, refund, escalate.
Evals and testing
Scripted and adversarial test suites that measure whether the agent answers correctly, refuses correctly, and escalates correctly, run before and after every change.
Guardrails and governance
Permission scoping, Einstein Trust Layer configuration, audit trails, and the boundaries that keep an autonomous agent inside policy.
Rollout and cost control
Phased deployment, monitoring, and usage modeling so consumption-based pricing doesn't surprise your CFO.
How it works with Codiot.
Readiness assessment
Your data, your workflows, your volume economics, and a plain answer on whether Agentforce is the right tool.
One agent, in production
The highest-value workflow first, with actions, evals, and guardrails, live to a limited audience.
Expand on evidence
Deflection, resolution, and cost-per-conversation numbers decide what the agent learns next.
Stack we use, and why teams choose us.
- ·We build both Agentforce and custom AI agents, so the recommendation follows your workflow, not our bench.
- ·Evals and guardrails engineered in from the start, not bolted on after an incident.
- ·We fix the data grounding before the demo, because most stalled pilots are data problems in an AI costume.
- ·Consumption pricing modeled against your real volumes, so the bill doesn't surprise your CFO.
When it fits, and when it doesn't.
Signs you need this
- ·Service or sales workflows are drowning in volume.
- ·An Agentforce license is already paid for and sitting idle.
- ·A pilot answers questions but can't take actions.
- ·There's pressure to do AI, with governance requirements attached.
What's included
- ·Readiness assessment, agent and action engineering.
- ·Eval suites and guardrail configuration.
- ·Rollout monitoring and cost modeling.
What's not
- ·Agentforce licensing and consumption fees, which you hold with Salesforce directly.
- ·Your policy decisions: we encode the escalation rules, you set them.
When this isn't the right fit
- ·The workflow lives mostly outside Salesforce, where a custom agent fits better, and we'll say so.
- ·Your data isn't ready and you want the demo anyway.
- ·Volumes are so low that a well-built Flow would do.
Common questions, answered plainly.
How much does Agentforce cost to run?
Agentforce vs building a custom AI agent, which is cheaper?
What does Agentforce need from our data before it's useful?
How do you stop the agent from saying something wrong?
How fast can a first agent go live?
Explore related work.
See it in production.
Let's talk about Agentforce development.
Tell us what you're building. We'll reply within two business days with an honest take on scope, timeline, and cost.
Get a free estimateSalesforce, AppExchange, and Agentforce are trademarks of Salesforce, Inc.