REVENUE & PIPELINE
Sales & Marketing Agent
Turn customer interest into consistent, timely follow-up action and qualified briefs.
Core Workflows
- Lead enrichment and contextual briefing
- Follow-up draft and reminder sequences
AI-Powered · Human-Approved · Business-Transformed
Build the AI Agent Ecosystemyour business needs to grow.
AI SMITH helps businesses design, train, govern, and improve AI agents across sales, service, operations, finance, HR, and management — grounded in your approved company knowledge, with humans in control of every sensitive decision.
Six-function agent inspector
Sales · Support · Operations · Finance · HR · Management
Select an agent to see its role, inputs, and human-approval gate
Human Control & Governance Core
Approved SOPs · Permissions · Final Sign-Off
AGENT INSPECTOR
#AGENT_SALESSales & Marketing Agent
PRIMARY MISSION
Turn customer interest into timely follow-ups and enriched context.
APPROVED INPUT
Inbound leads & product catalogue
PRODUCED OUTPUT
Enriched briefings & draft follow-up sequences
HUMAN APPROVAL SAFEGUARD
Human approves pricing & proposal send. No outbound emails without review.
Explore deep solution specs:View Full Agent Spec→
Grounded in approved company knowledge
Humans in control of every sensitive decision
Start with one high-value workflow and expand
Operating facts
Six Core Functions Covered
Sales & Marketing, Customer Support, Operations, Finance, HR, and Management.
Human Sign-Off on Sensitive Steps
Pricing, payments, external communication, and employment decisions require explicit human authorisation.
Malaysia-Based, Asia-Ready
Built around Malaysian business practice, with a foundation for regional growth.
THE CORE CHALLENGE
Most businesses don't fail at AI because the technology is weak.
They fail because they collect disconnected AI subscriptions instead of engineering a coordinated, governed capability.
- ✕Disconnected SaaS tools sit apart from core operations, forcing staff into constant manual data copy-pasting.
- ✕Generic AI models lack private company context — your specific pricing rules, tone, and operational SOPs.
- ✕Ambiguous ownership creates risk: nobody knows who is accountable for AI outputs or who signs off on actions.
- ✕Zero empirical benchmarking: companies pay monthly seat licenses without measuring actual time saved or revenue lifted.
- ✕Executive hesitation: leadership teams lack a governed, risk-free starting blueprint.
Businesses don't need another generic chatbot. They need a Coordinated AI Agent Ecosystem: specialised agents that share company knowledge, hand off workflows, and remain strictly under human control.
INTERACTIVE WORKFLOW SIMULATOR
See how coordinated agents collaborate in real-world business scenarios.
Agents do not work in isolation. Select a scenario to see how work hands off between specialised agents, grounded in approved knowledge, with a person signing off at the sensitive step.
SCENARIO 01 // GROWTH ENGINE
Inbound Enterprise Lead Qualification & Handoff
A high-intent buyer submits an inquiry via website or WhatsApp. The Sales & Marketing and Support agents coordinate to qualify and prepare briefing documents before sales team outreach.
COORDINATED AGENTS
2 AGENTS + 1 HUMAN LEAD
01TRIGGER
Customer Submits Request
Prospect requests pricing and solution fit for a 50-person Malaysian manufacturing operation.
Input: WhatsApp / Web Form
02AI PROCESSING
Sales & Support Agent Mesh
Sales Agent enriches company background and matches requirements with approved solution tier. Support Agent pulls verified product SLA facts.
Knowledge: Approved Catalogue & SOP
03HUMAN GATE
Sales Lead Sign-Off
Account Executive reviews the generated proposal brief, confirms customised pricing terms, and approves communication.
Action: 1-Click Approval in CRM
04OUTCOME
Synchronised Action & Log
Approved briefing sent to prospect, calendar booking link dispatched, and comprehensive interaction logged for management review.
Result: Brief ready for a person to send
Governed & Compliant by Design
Zero unvetted data sends. Every sensitive action stops at the Human Sign-Off checkpoint.
Architecture & Foundation
Every agent AI SMITH designs starts from a real business goal, not a feature list.
Every agent starts from a real business goal, grounded in the knowledge your team approves, working inside workflows you already run, with a person approving sensitive actions.
01
LAYER 01Goal-First Scoping
Business Goals & Measured Baseline
Every deployment starts from a quantified bottleneck (e.g. lead latency, invoice backlog, support response time) — not an abstract tech trial.
02
LAYER 02Approved knowledge only
Approved Company Knowledge & SOPs
Agents ingest only verified materials: standard operating procedures, price lists, product catalogs, and corporate compliance rules.
03
LAYER 03Cross-Functional Hand-offs
Governed Multi-Agent Mesh
Autonomous agents share context, handle routine preparation, execute data lookups, and communicate across existing business software.
04
LAYER 04Continuous Human Governance
Human-in-the-Loop Safeguards & ROI Audit
Sensitive decisions stop for accountable human sign-off. Post-launch performance is benchmarked continuously against the baseline.
Specialised Agents
Six business functions. One coordinated ecosystem.
SERVICE DESK
Customer Support Agent
Give customers faster, verified answers from approved SOPs while your team handles exceptions.
Core Workflows
- Instant FAQ answers from approved sources
- Context-rich conversation summaries for hand-off
WORKFLOW & SOPs
Operations Agent
Turn operating knowledge and checklists into reliable, repeatable execution.
Core Workflows
- Daily operational summaries & status briefs
- SOP checklist and compliance verification
ACCURACY & AUDIT
Finance Agent
Eliminate repetitive bookkeeping friction and prepare verified documentation for review.
Core Workflows
- Line-item invoice detail extraction
- Payment reconciliation draft preparation
PEOPLE OPERATIONS
HR Agent
Make policy navigation and onboarding easy while keeping employment decisions strictly human.
Core Workflows
- Handbook and policy query answers
- Role onboarding checklist generation
DECISION INTELLIGENCE
Management Agent
Synthesise cross-department data into timely executive briefs and anomaly notifications.
Core Workflows
- Cross-functional executive briefing
- Threshold and KPI anomaly alerts
Consultative, custom-grounded architecture: These are tailored agent solutions shaped around your company's SOPs, data systems, and approval gates — not generic off-the-shelf software widgets.
Business Impact
Outcomes an AI agent ecosystem is designed to support.
Pipeline Velocity
Grow
- Faster lead response
- Consistent follow-up sequences
- Steadier campaign execution
Grounded answers
Serve
- Instant routine FAQ resolution
- Clear conversational triage
- Clean escalation to human staff
Process Reliability
Operate
- SOP-aligned checklists
- Fewer manual hand-off delays
- Real-time operational visibility
Executive Clarity
Decide
- Timely cross-department briefs
- Early anomaly & threshold alerts
- Better-prepared decisions for leadership
NOTE:Where we don't yet have a published case study, treat these as baseline targets to validate during your tailored pilot.
IMPLEMENTATION METHODOLOGY
A disciplined, 6‑stage roadmap from diagnostic to expansion.
01PHASE 01
DIAGNOSTIC & SCOPINGDiagnose the bottleneck.
We identify your priority business objective, map the existing workflow, and establish baseline performance metrics.
02PHASE 02
AGENT SPECIFICATIONDesign agent role & boundaries.
We define exactly what the agent handles, what data it accesses, its human sign-off triggers, and quantified success criteria.
03PHASE 03
KNOWLEDGE GROUNDINGIngest approved SOPs & rules.
We structure and ground the agent in your verified company documents, pricing rules, templates, and corporate guidelines.
04PHASE 04
SUPERVISED PILOTDeploy with human oversight.
The agent runs inside a strictly bounded workflow where accountable team members review and authorise sensitive decisions.
05PHASE 05
ROI & QUALITY AUDITBenchmark business outcomes.
We audit execution accuracy, response times, and hours saved against the original baseline to verify real business value.
06PHASE 06
EXPANSION & SCALERefine and expand ecosystem.
We optimise the live workflow and connect adjacent functional agents only once empirical performance justifies scaling.
Start with one workflow: expand only once the evidence from that pilot supports it.
Explore pilot timelines & deliverables→Trust & Governance
Built for enterprise compliance, privacy, and absolute human control.
We ensure AI agents operate as trusted, disciplined force multipliers — never rogue automation.
APPROVED SOURCES
Approved Knowledge Grounding
Agents work only from the SOPs, policies, and product facts your team has reviewed and explicitly approved.
STRICT PERMISSIONS
Role-Based Access Control
Each person and agent accesses only the specific data layers and trigger actions approved for their exact operational role.
MANDATORY GATES
Human-in-the-Loop Sign-Off
Pricing, external communication, financial batch postings, and employment decisions require an accountable person's explicit sign-off.
COMPLETE TELEMETRY
Full Audit Trail & Visibility
You can inspect what an agent did, which source passage it referenced, and who approved every business action in immutable logs.
SAFE FAILOVER
Confidence Escalation Routing
Uncertain, anomalous, or out-of-scope inquiries immediately route to the designated team member instead of guessing.
DATA PRIVACY
PDPA & Responsible AI Compliance
Governed strictly under Malaysian PDPA guidelines and our transparent Responsible AI Policy. Your private data is never used for training.
Review our full legal commitments:
Workflow comparison
TRADITIONAL DISCONNECTED BOTNo company context
Customer asks question ➔ Bot produces unchecked generic answer ➔ Bot makes hallucinated promises or gets stuck ➔ Customer frustrated, staff has zero context.
AI SMITH GOVERNED ECOSYSTEMHuman signs off
Customer asks question ➔ Support Agent answers from approved SOPs ➔ Uncertainty/refund triggers Human Escalation Gate ➔ Sales Agent drafts personalised follow-up ➔ Human Lead reviews & authorises ➔ CRM syncs.
Human sign-off on sensitive actionsRequired
Illustrative Scenario
How multi-agent coordination transforms customer operations during high-traffic campaigns.
A retail business receives a wave of repetitive product and delivery-status questions during a promotion. The Customer Support Agent answers routine questions from approved catalogue and policy documents, captures shopper intent, and hands off anything uncertain — complaints, refund requests, or custom quotes — to a human specialist with full context attached.
Meanwhile, the Sales & Marketing Agent prepares a follow-up draft for shoppers who asked about high-value items. Nothing is sent, refunded, or committed without a human team member approving it first.
Honest Evidence Policy: We do not publish simulated customer testimonials. As pilots conclude and clients grant case study permissions, this section will feature verified client benchmarks in place of this illustrative scenario.
Engagement Models
Three starting paths, scoped to the size of your business problem.
SINGLE WORKFLOW PILOT
Launch
One high-value workflow or one agent, with a clear accountable owner.
Start focused, establish measured baseline value, and validate.
RECOMMENDED FOR SMES
Growth
A coordinated multi-function agent team.
Expand capacity and cross-functional automated hand-offs.
ORGANISATIONAL ECOSYSTEM
Enterprise
A governed ecosystem across teams, knowledge, and systems, coordinated at enterprise scale.
Need a tailored multi-department assessment?
A consultation maps one priority workflow before you commit to a plan.
Knowledge Base
Frequently asked questions
Everything you need to know about starting an AI agent pilot.
What is an AI agent for business?
An AI agent is software that can understand a request, use your approved company knowledge, and carry out or prepare part of a workflow — such as answering a question, drafting a follow-up, or preparing a summary — with a person approving sensitive steps.
How is an AI agent different from a chatbot?
A chatbot typically answers questions in a single conversation window. An AI agent is designed to work across a workflow: it can gather context, take a prepared action, hand off to another agent or a person, and be measured against a business outcome, not just a reply.
Which business process should we start with?
The best starting point is a workflow that repeats often, has a clear owner, and can be measured — not necessarily the most impressive one. We help you identify this during your consultation.
What does our team need to provide?
Access to the workflow owner, the documents and rules the agent should follow, and a way to measure the current baseline. We'll tell you exactly what's needed for your specific workflow before you commit to anything.
Which actions require human approval?
Sensitive actions — pricing, external communication, financial postings, refunds, and employment decisions — always require a person's approval. The exact list depends on the agent and workflow; each solution page sets out its own human-control boundaries.
How is pricing determined?
Pricing depends on scope: how many workflows or agents, how much knowledge preparation is needed, integration complexity, and the level of governance and support required. See Pricing & Plans for full details.
Explore Pricing Details →Can we start with one agent?
Yes. Most businesses start with one workflow or one agent, prove the value, and expand only once empirical evidence supports it.
START YOUR PILOT
Start with the business bottleneck that matters most.
A consultation is a conversation about one priority workflow — not a sales pitch for every agent at once. Come with the process that costs you the most time or consistency today; we'll help you work out whether an AI agent is a sensible next step.