Repeated handoffs
Staff copy the same details between systems because the next step has no agreed owner or safe connection.
SPECIALIST SERVICE
AI Agent Implementation for Real Business Workflows
AI agents should help your team complete useful work within clear limits.
Start with one practical task. Define the information an agent may use, the tools it may call, the decisions a person must approve, and the cases it should hand back to your team.
WHERE TEAMS GET STUCK
Give a repeatable task a safer next step.
A bounded agent may help when a task needs context and a limited choice between approved steps. Discovery determines whether an agent is warranted.
Coordination across tools
A request may need information from several applications before a person can decide what happens next.
Routine information searches
Time is spent locating and organizing approved information before the actual task can begin.
Checks that need a person
A process can have repeatable preparation while a consequential action still needs explicit human approval.
Unclear AI boundaries
Teams need to know which tools an assistant may use, when it must stop, and how an exception reaches a reviewer.
HOW A BOUNDED AGENT WORKS
Context guides the step; permissions set the boundary.
The agent follows an agreed task path. It can use a tool only when that tool and action are part of the approved scope.
- 01
Receive a defined task
Start with a named request, a known input and a useful outcome rather than an open-ended instruction.
- 02
Use approved context
Read only the information and instructions allowed for that task, with source and access limits agreed in advance.
- 03
Choose an allowed step
Decide whether to answer, ask for missing information, call a permitted tool or hand the task to a person.
- 04
Call a permitted tool
Use a documented integration only within its scoped permissions and the agreed task sequence.
- 05
Request approval when needed
Pause before the defined consequential action so an authorized person can review it.
- 06
Surface the outcome
Return the result, an error or a clear handoff according to the workflow agreed for the pilot.
A predictable trigger and fixed steps may be better served by workflow automation. An AI-assisted draft may need no tool access. A controlled agent is useful only when the task calls for choosing among permitted steps and tools.
POSSIBLE APPLICATIONS
Choose one useful case before connecting systems.
These are discovery examples, not completed client projects or features bundled into the Agent pilot. Each needs its own feasibility and scope review.
Internal information lookup
Find an answer from approved sources and show where it came from. A document Q&A build may be the better starting scope.
CRM assistance
Prepare a record update or next-step suggestion using defined fields and permissions, with a person approving important writes.
Support-ticket triage
Gather context, suggest a route and flag cases that need a support specialist rather than sending an unreviewed reply.
Document or record review
Extract agreed details, identify missing information and place the result in a review queue before any consequential action.
Structured research
Collect permitted information into a defined format, with a reviewer checking sources and accuracy.
Approved task coordination
Use documented integrations to prepare a handoff between tools when access, exceptions and approvals have been confirmed.
DISCOVERY TO HANDOVER
Test the limits before asking a team to rely on the result.
Authorized access, usable samples and a named reviewer are needed before planning. Final milestones and acceptance are agreed in a written Order Summary.
- 01
Discover the process
Map the current task, people, systems, delays and intended business outcome.
- 02
Select a feasible use case
Choose one bounded task and check whether an agent adds value over a simpler workflow.
- 03
Define permissions
Name the documented tools, allowed data, approval point, owner and excluded actions.
- 04
Configure the agent
Set instructions and the agreed tool connections for the selected task.
- 05
Plan failures and review
Specify what happens when a tool fails, context is missing or a human decision is required.
- 06
Evaluate scenarios
Test the agreed normal, exception and unsupported cases with a named reviewer.
- 07
Handover with limits
Walk through results, document responsibilities and identify improvements that need separate scope.
APPROVED STARTING PACKAGE
One agent pilot, with a written boundary.
This is one independent offer in Channels & Approved Tools. It does not include the separate Telegram or WhatsApp packages.
Agent + Approved Tools Pilot
From $4,00020–25 business days
One agent using up to two documented tools and one human-approved action. This offer stands on its own.
Included baseline
- One scoped agent
- Up to two documented tools
- One action under human approval
- 25 agreed test cases
Outside baseline: WhatsApp/Telegram channel builds, unrestricted tools or autonomous important writes.
The starting fee varies with the task, tool capabilities, authentication and integration feasibility. The 20–25 business-day range is an estimate after written scope approval, kickoff payment, usable samples and authorized access. Agreed tests, one in-scope revision and documented handover follow the published working terms. Model/API usage, subscriptions, hosting, messaging and applicable taxes are separate unless the written quote includes them. Compare all 18 packages and read the working terms.
Before you choose a package: Fees are one-time USD starting prices for the specified baseline, not automatic combined quotes. Agreed tests, one in-scope revision, handover and 30 days of correction for confirmed implementation defects are included. Hosting, model/API usage, third-party subscriptions, messaging and applicable taxes are separate unless agreed in writing. Payment: projects below $1,500 use 50% at kickoff and 50% at acceptance; projects of $1,500 or more use 40% at kickoff, 40% at a defined demonstrated test milestone and 20% at accepted handover. Final scope, supplier identity, delivery estimate, milestones and fees are agreed in a written Order Summary. Read full working terms.
CONTROL AND RESPONSIBILITY
Name what the agent may do—and when it must stop.
Permission design, human review and fallback are part of deciding whether a pilot is workable, not claims of unlimited autonomy.
Approved tools and access
Use only documented, authorized connections. Authentication and supplier restrictions are checked before a tool is included.
Human approval
One defined pilot action passes through a person. Financial, customer-facing or other consequential writes need explicit approval rules.
Errors and unsupported tasks
Test normal and exception cases. A failed tool call or unsupported request should surface a clear handoff instead of a guessed result.
Sensitive or regulated data needs separate feasibility and scope review. Monitoring, ongoing maintenance and wider integrations are separately agreed where needed. No perfect accuracy, unrestricted tool access or 24/7 operation is promised.
CHOOSE THE RIGHT METHOD
Automation, RAG and agents solve different parts of a task.
The simplest reliable approach may use one method or a carefully scoped combination.
Workflow automation
Best when steps and rules are predictable. Explore our n8n automation services.
RAG and document Q&A
Best for retrieving information from approved knowledge sources. See RAG implementation.
Controlled AI agents
Useful when a bounded task needs contextual choices and approved tool use. The pilot defines exactly which choices and actions are allowed.
See the existing Channels & Approved Tools solution for the related independent offers.
COMMON QUESTIONS
Decide what the first agent should be allowed to do.
A useful pilot has a specific task, clear tool limits and an agreed way to handle uncertainty.
- What can an AI agent actually do for a business?
- A scoped agent can use agreed context and permitted tools to help with one defined task. The useful task, access and approval rules are chosen during discovery; it is not a general-purpose employee replacement.
- How is an agent different from standard automation?
- Standard automation follows defined rules. An agent may choose between allowed next steps using task context, but it still needs tool limits and a fallback. We may recommend a simpler workflow when the steps are predictable.
- Can an agent connect to our current software?
- Potentially, if the required API or integration is documented and your team can provide authorized access. Authentication, permissions and supplier limits are checked before the connection is included in scope.
- Will it take action without our approval?
- The approved pilot includes one action under human approval. Its permitted tools and approval point are named in the written scope; autonomous important writes are outside the baseline.
- How do you test the pilot before handover?
- The pilot is checked with 25 agreed test cases, including normal and exception paths. The named reviewer assesses results and the written Order Summary defines acceptance and the in-scope revision.
- What does the starting price include?
- From $4,000 covers the stated baseline: one scoped agent, up to two documented tools, one human-approved action and 25 agreed test cases. Final fees depend on the selected tools, access and task complexity; vendor usage and subscriptions are separate unless agreed in writing.
- What if the agent cannot complete a task?
- The agreed fallback should surface the missing information, tool error or unsupported request to a person. The pilot does not promise perfect answers or unrestricted autonomous recovery.
START WITH ONE PROCESS
Start with one useful workflow and clear approval rules.
We will first confirm the process, tools, sample inputs, volume and feasibility—then recommend the smallest useful build.