Your next teammate could be an AI agent.
Business-specific agents and connected workflows with defined access, review steps and exception handling.
Discuss this serviceA visual perspective
AI automation builds on business knowledge and workflows, with validation and human approval for actions that require oversight.
A practical solution starts with the right problem.
Repetitive email, lead handling and data entry keep your team away from higher-value work.
- Workflow mapping and automation design
- Customer service and lead assistant configuration
- Business tool integrations
- Approval rules, monitoring and handover
A starting point, shaped to fit.
Professional
Multiple connected workflows and knowledge sources
Custom quote after discovery
Request a proposalCustom Enterprise
Custom agent workspace and operational integrations
Custom quote after discovery
Request a proposalPlan your investment.
Explore package scopes and the available Midtrans integration price reference.
View packagesWhat this service does for your business.
An AI agent combines approved business information with carefully permitted actions. We design it for a specific role—such as organizing enquiries, preparing replies or processing routine data—then define when it must ask a person to approve or handle an exception.
Who this is for
- Teams handling repetitive customer enquiries
- Businesses connecting email, CRM and internal workflows
- Operations teams needing structured data preparation
Clear outputs, agreed before we start.
Use these as a guide. Your written proposal confirms the exact deliverables, quantities and acceptance criteria.
Workflow map
Inputs, expected outputs, human owners and exception paths.
Knowledge setup
Approved source material and clear boundaries for what the agent can answer.
Configured agent or automation
The agreed role, tools and integrations, deployed to the selected environment.
Review & safeguards
Permission boundaries, approval steps and representative scenario checks.
Operating guide
Instructions for supervising the workflow and maintaining its information.
A realistic starting timeline.
Workflow discovery
3–5 business days
One focused workflow
2–4 weeks
Connected agent workspace
4–8+ weeks
Indicative planning ranges, not guaranteed deadlines. The schedule starts after scope approval and receipt of required content, access and agreed payment. Complexity, feedback, revisions and third-party approvals may change it. We confirm milestones in your proposal.
Your project, step by step.
Map the work
Identify repeatable tasks, data sensitivity and measurable outcomes.
Define permissions
Agree knowledge sources, tool access and human-review requirements.
Configure & validate
Build the workflow and test expected inputs, failures and exceptions.
Pilot & hand over
Start with a bounded pilot and refine before extending access.
What we need from you.
- Documented workflow and an accountable owner
- Approved knowledge material and representative examples
- Authorized integration accounts and access
- Clear approval rules for messages, transactions and other actions
Know what to plan for.
AI-provider usage, third-party subscriptions, WhatsApp API costs and ongoing monitoring are separately scoped. Outputs can be inaccurate; consequential actions require the review approach agreed for the project.
After delivery
Ongoing knowledge updates, monitoring and improvements can be included in a recurring support scope. The website showcase is illustrative, not a deployed customer agent.
Revisions, ownership, ongoing fees and any support period are agreed in writing. See our Terms and Conditions.
A few more useful answers.
Can an AI agent work around the clock?
The system can be designed for continuous availability, subject to hosting, provider uptime and the support plan. Human escalation remains important.
Can it send messages or change business records?
Only actions explicitly authorized in the scope and enabled by suitable integrations. Approval requirements are agreed before deployment.
Choose the job before choosing the agent.
Support assistant
Answers using your approved FAQ and service information. Routes uncertain cases to a person.
Inputs: product guides, FAQ and escalation rules.
Lead assistant
Classifies enquiries and prepares a suggested reply. Sending messages follows your approval rules.
Possible connections: email and a CRM with supported access.
Operations assistant
Prepares structured records and checks required fields before a person approves updates.
Inputs: sample records, field mapping and validation rules.
What affects operating cost?
Model usage, message volume, hosting, third-party subscriptions and support coverage. The proposal separates setup work from ongoing costs; no fixed usage allowance is implied.
Before we begin.
Can you work with our existing platform?
We review your current tools and requirements before proposing the ai agents & automation scope. Suitable existing systems can be retained.
How are timeline and pricing agreed?
After discovery, we provide a scoped proposal covering deliverables, milestones, responsibilities and the agreed price.
What happens after launch?
Support and ongoing management are defined in the proposal. We agree ownership, handover and the support period before work begins.
Make your next move count.
Tell us where you want to go. We’ll shape a practical way forward.