01
Research assistance
Gather information from approved sources and prepare a cited summary for a person to review.
AI SERVICES / CUSTOM AI AGENTS
Custom AI Agents for Focused, Human-Supervised Work
Plan and build task-focused AI agents around a clear role, explicit boundaries, and an appropriate level of human oversight.
Explore where an AI agent can help with a well-defined task, what tools and information it needs, and where a person should stay in the loop.
Not sure whether this is the right fit? Talk through your challenge.
Agent workspace
A bounded assistant
01Understand requestContext in scope
02Prepare responseDraft for review
Ask for approvalHuman checkpoint
Illustrative workflow / human review shown
Define a bounded agent role
Make tool access and handoffs explicit
Plan how performance will be checked
A considered approach
Useful technology starts with a clear need.
Every engagement starts by understanding the people, process, and constraints involved. We agree the problem and scope before recommending a solution.
01 / USE CASES
Give an agent a job it can explain.
An agent is most useful when its task, permitted actions, and success criteria are clear. These examples are starting points for scoping, not claims that every task should be delegated to AI.
02
Internal knowledge support
Help staff find and summarize relevant information from an agreed knowledge base.
03
Task preparation
Prepare drafts, categorize requests, or assemble context before an employee makes the decision.
02 / AGENT ANATOMY
Define the role, tools, and boundaries.
A useful agent design explains what it receives, what it may do, and when it must pause or ask for help.
01
Inputs
The request and the approved context the agent is allowed to use.
02
Reasoning task
A bounded objective with clear instructions and evaluation criteria.
03
Tools
Only the data sources and actions required for that role, subject to feasibility and permissions.
04
Handoff
A visible point for review, clarification, or human decision-making.
03 / OVERSIGHT
Keep people responsible for consequential decisions.
Guardrails are part of the design—not a last-minute add-on. Specific controls depend on the use case and your policies.
01
Permission boundaries
Scope access to the information and actions needed for the agreed task.
02
Human approval
Require confirmation before consequential actions or uncertain outputs move forward.
03
Fallback behavior
Define when the agent should stop, disclose uncertainty, or route work to a person.
04 / TEST & OPERATE
Evaluate behavior before relying on it.
A credible agent workflow includes representative tests, clear owners, and a plan for monitoring and updating it.
01
Test scenarios
Check ordinary requests, edge cases, missing context, and attempts to exceed the agent’s role.
02
Review quality
Agree how people will assess relevance, accuracy, and safe behavior for the task.
03
Maintain
Plan who updates instructions, sources, permissions, and evaluation examples as needs change.
How we work
A clear route from question to next step.
The sequence is adapted to the engagement. We confirm deliverables, responsibilities, and timing with you before work begins.
- STEP 01
Select a task
Choose a focused problem where an agent may be appropriate.
- STEP 02
Set boundaries
Define inputs, permissions, expected outputs, and human checkpoints.
- STEP 03
Prototype & evaluate
Test realistic cases and refine behavior against agreed criteria.
- STEP 04
Plan deployment
Confirm operational ownership, monitoring, and rollout requirements before launch.
Investment / scope first
Transparent scope. No invented pricing.
Each agent use case has different requirements. We’ll provide a custom quote after scoping the role, tools, integrations, and oversight needs.
Pricing: Custom quote
How is an AI agent different from workflow automation?
Workflow automation follows predefined rules and steps. An AI agent may interpret context and choose among bounded actions. A solution can combine both; the appropriate approach depends on the task.
Can an agent take actions in our systems?
Potentially, where the system supports it and the access model is appropriate. Actions and permissions must be scoped and tested; a human approval step may be needed.
How do you reduce incorrect or unexpected behavior?
Define a narrow role, test realistic and edge-case scenarios, limit permissions, and make escalation behavior clear. No AI system can be promised to be error-free.
What does an AI agent cost?
Cost depends on the use case, data and tools, integrations, evaluation, and operating requirements. DAGZER will provide a custom quote after confirming the scope.
Keep exploring
Related AI services.
Workflow AutomationTurn repeatable, time-consuming processes into clear workflows—with people kept in control where judgment and exceptions matter.AI Strategy & ConsultingMove from broad AI interest to a focused, practical view of opportunities, readiness, risks, and next steps.AI Chatbots & Voice AssistantsDesign chat and voice experiences around real questions, trusted information, clear limitations, and sensible human handoffs.
Start with a conversation
Bring us the challenge. We’ll help find the right next step.
Share what you’re trying to solve. We can discuss fit, scope, and what information would help shape a useful proposal.