Agentic AI Consulting Services

Our agentic AI transformation consulting links agent projects to business goals. We decide which initiatives come first and who owns each result. We also plan which data and tools several agents can share.

Agents also change how people work. The roadmap defines which tasks move to agents, where people review or approve, and what skills your teams need to supervise them.

Includes:

• Business case and ROI model
• Initiative sequencing and budget ranges
• Operating model with human and agent roles
• Named owner for each agent
• Training and change plan

We design agentic AI systems around the task. First we decide whether one agent is enough. If several are needed, we design how they hand tasks to each other. Then we set which tools each agent can call and what it should remember between steps.

Autonomy is set per action. An agent might read order data freely but need approval before it issues a refund. We also compare a custom build with platform agents such as Salesforce Agentforce or Microsoft Copilot Studio.

Includes:

• Agent count and multi-agent orchestration
• Tool and data access map
• Autonomy levels and human-in-the-loop points
• Custom build or platform recommendation
• Cost-per-task model

A pilot answers one question: can the agent complete this task reliably on your data at an acceptable cost? We build a focused version and run it against real past cases.

We track whether the agent finishes the task, how often it takes a wrong action, and what each run costs. Repeated runs show how consistent it is.

Includes:

• Success criteria and evaluation design
• Test set from your own history
• Pilot in a safe environment
• Completion, error, consistency, and cost results
• Feedback from the intended users
• Go/no-go memo

Treat an agent like a new hire: it gets only the access its job needs. We define what each agent can see and do, and when it must hand the work to a person.

The controls target risks specific to agents, such as actions outside their scope and loops that run up costs. Hidden instructions in emails or documents (prompt injection) can’t be fully filtered out, so we limit what a tricked agent could do. Every action is logged with the tools used and who approved it.

Includes:

• Agent inventory and risk tiers
• Access and identity rules
• Human-in-the-loop and escalation rules
• Prompt injection and misuse testing
• Audit logging requirements

Some agents work in a demo and break in daily use. They loop, call the wrong tool, or cost more per task than the work is worth. We review the setup to find what is holding it back.

You get a prioritized list of fixes and a recommendation to improve, redesign, or retire the agent. Our team can make the changes or guide your engineers through them.

Includes:

• Architecture and prompt review
• Tool call and failure analysis
• Cost and latency review
• Access and security check
• User feedback review
• Prioritized fix plan

When you’re ready to build, WiserBrand can take the agents to production. We connect them to your CRM, ERP, help desk, and other tools with scoped permissions.

The same core team stays on the project, so decisions from the plan carry into the build. If your engineers lead delivery, we can review the architecture, code, and test results along the way. See our AI agent development services for details on the build.

Includes:

• Production build and system integration
• Phased rollout with monitoring
• Advisory support for in-house teams