3Dolphins
AI & AUTOMATION
Agentic AI that acts—with boundaries your business controls.
Forge by 3Dolphins helps teams build AI agents that reason through work, use approved tools, adapt when a plan fails, and pause for human decisions when risk requires it.
Connected workflows · Human ownership · Reviewable outcomes
Move from an AI response to a completed business task
A useful agent needs a clear objective, relevant context, access to approved tools, and rules for the decisions it cannot make alone. Agentic AI connects those parts so your team can review how a task moves from request to result.
Reason with business context
Interpret the request alongside available customer, operational, and policy information. Define the result the workflow should deliver before deciding which actions to take.
Act through approved tools
Prepare or execute actions through the systems connected to the workflow. Access and permitted actions should match the task, rather than giving an agent unrestricted control.
Check, adapt, and hand over
Review the outcome of each step. If information is missing, a tool fails, or a decision needs judgment, route the exception to an accountable person with the context already assembled.
Give recurring work a clear route to completion
Reduce the work between systems
Bring the request, supporting information, and proposed next action into one process. Your team spends less time reconstructing context before it can act.
Handle exceptions deliberately
A missing document or conflicting record should trigger a defined recovery path. Prepare the evidence, identify the blocker, and involve the right owner.
Make human review meaningful
Place approval before consequential actions. Reviewers need to see what the agent found, what it proposes, and why their decision is required.
Start with measurable work
Choose one repetitive task with a visible result. Evaluate completion quality, exceptions, review effort, and time spent before expanding the workflow.
Follow the work from request to result
Define the information, owner, and expected outcome at each step.
01
Understand
Identify the task, required context, and the expected output.
02
Prepare
Retrieve relevant knowledge and assemble a proposed plan.
03
Execute
Use only the tools and actions allowed for the task.
04
Review
Check the outcome and request approval at defined boundaries.
05
Continue
Record the result or route an unresolved exception to its owner.
Put the capability to work in a real business journey
Choose the journey that matches the work your team needs to complete.
Prepare the incident response before the team joins
Collect the available incident context, summarize what is known, and prepare a proposed response. A responsible operator reviews any action that changes a production environment.
- Input: alert, relevant logs, and the runbook
- Agent work: organize evidence and propose the next step
- Human decision: authorize a consequential system action
What to review
Review preparation time and the completeness of the incident handover.
Turn scattered activity into a useful daily brief
Assemble authorized sales notes, open follow-ups, and meeting context. Prepare a prioritized brief so the account owner can decide what needs attention.
- Input: permitted customer and activity records
- Agent work: summarize priorities and prepare follow-ups
- Human decision: approve sensitive customer communications
What to review
Review preparation time and whether important follow-ups have clear owners.
Prepare a vendor review with evidence attached
Gather the documents available for a supplier assessment and organize them against the review criteria. Highlight missing or conflicting information before the procurement team decides.
- Input: supplier documents and the review checklist
- Agent work: assemble findings and flag gaps
- Human decision: determine vendor suitability
What to review
Review missing-document rates and reviewer time per assessment.
Define success before you scale
Use your own baseline and review the results against the task your team wants to improve.
Completion quality
Did the workflow produce the required result with adequate evidence?
Review effort
How much preparation remains for the person making the decision?
Exception recovery
Are failed or incomplete steps visible and assigned to an owner?
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Questions before you get started
A chatbot usually handles a conversation or answers a question. An agent can also coordinate a task across knowledge and tools. The workflow still needs clearly defined access, checks, and approval points.
Not always. Defined rules are useful when the process is predictable; agents help when a step needs interpretation or context. A practical deployment can combine both approaches.
Forge OS is the platform layer for building, orchestrating, and governing the agents described here. This page explains the business application of agentic AI.
Start with a repeated task, known inputs, an accountable owner, and a result you can evaluate. Avoid beginning with an open-ended objective that has no clear completion criteria.
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