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AGENTIC AI

AI agents for work with several steps

A service request may need a record checked, a policy consulted, and an update in another application. We build agents that coordinate those steps using approved tools, with clear limits on what they can do.

An agent connecting to named MCP servers, then calling their tools and showing what each returned.

Give each agent a defined job

  • A clear completion pointSpecify the result that ends a task and the conditions that should stop a run.
  • Adaptive next stepsLet the agent select from permitted actions as new information becomes available.
  • Approved tool callsConnect only the operations needed for the task, with inputs checked before execution.
  • Current case informationSupply the records and task history needed to choose a relevant next action.
  • Progress across stepsKeep track of completed actions, pending work, and interrupted runs.
  • Human checkpointsPause for approval at agreed stages and hand unresolved cases to a named role.
AGENT DEVELOPMENT

Build the agent around the task

Once the job and its limits are clear, we design the components that let an agent carry it out. The scope depends on the tools, information, and decisions involved.

01

Task-specific agents

Define instructions, available actions, stopping conditions, and expected outputs for a particular operational role.

02

Application integrations

Implement tool calls that read or update selected systems. Validate parameters and enforce the access rules of the connected application.

03

Working context

Provide relevant documents, current records, and task state so the agent can use information beyond the conversation alone.

04

Coordinated agents

Separate responsibilities where a task benefits from distinct specialist roles, with explicit handoffs and checks between them.

05

MCP connections

Use Model Context Protocol where appropriate to expose approved tools and resources. Authentication and authorization remain part of the integration design.

06

Approval workflows

Build review screens, escalation routes, and resumable steps so staff can intervene before selected actions proceed.

Put coordinated action to use

The following examples show where an agent may help. Suitability depends on whether the available tools and checks can support the proposed task.

  • Operational case reviewGather case details, check related records, and prepare a proposed resolution.
  • Employee service requestsCollect missing information and prepare actions for the responsible support team.
  • Research briefsSearch approved sources, compare findings, and assemble a brief with references.
  • Procedure assistanceConsult relevant guidance and lead a user through the steps applicable to their case.
  • Technical investigationsCollect diagnostic information and suggest checks within an agreed operating boundary.
  • Record reconciliationIdentify differences between systems and propose updates for validation.
  • Handoff coordinationTrack prerequisites and notify the next owner when a task is ready to move forward.
  • Bounded process executionCarry out a defined sequence, checking results and stopping when an exception needs attention.

Start with a narrow remit and test incomplete inputs, unavailable tools, and incorrect outputs. Expand the agent’s responsibilities only when the results support that decision.

Choose the tools behind the agent

ORCHESTRATION
  • LangGraphAn option for structuring agent steps and managing state across a workflow.
  • LangChainAn option for assembling model calls, retrieval, and tool integrations.
  • CrewAIAn option to assess when the design calls for agents with separate responsibilities.
RETRIEVAL
  • RAGRetrieve relevant material for an agent to consult while working on a task.
  • Vector databasesStore and search document representations when semantic retrieval suits the source material.
CONNECTIVITY
  • MCP serversExpose selected tools and resources through a shared protocol where supported.
  • Tool and API accessConnect application operations with scoped credentials, validation, and execution logs.

Which task needs more than a reply?

Walk us through one case from arrival to resolution. Include the systems it touches and the decisions your team makes. Together, we can assess whether an agent fits and where approval should remain with a person.

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