WEQEX / AGENT ENGINEERING

AI THATDOES THE WORK.

We build AI agents around real company workflows. An agent can use context from CRM, websites, knowledge bases and APIs, analyze information and perform permitted actions with the right level of human control.

Discuss an AI project ↗Explore architecture ↓
RAG + KNOWLEDGETOOLS + APIHUMAN CONTROLCUSTOM WORKFLOWS
AGENT RUNTIME / ARCHITECTURE DEMO ACTIVE
AIAGENT CORE
CRMRAGTELEGRAMAPIWEBSITEDATABASE
08:41trigger: new_leadreceived
08:41context: crm + knowledgeloaded
08:41policy: qualification_ruleschecked
08:42action: prepare_next_stepprocessing
01 / WHAT IS AN AGENT

Not just answering.
Working inside the system.

Chat is only an interface. A useful agent receives context, uses tools, follows policies and executes a defined workflow. Its autonomy level is designed around risk and business requirements.

LEVEL 01 / ANSWER

Assistant

Finds relevant information and answers a user based on provided knowledge.

KNOWLEDGE → ANSWER
LEVEL 02 / THINK

Copilot

Analyzes data and prepares recommendations, drafts and next actions for an employee.

CONTEXT → RECOMMENDATION
LEVEL 03 / ACT

Agent

Uses APIs and business tools to execute a permitted chain of actions.

TRIGGER → DECISION → ACTION
02 / USE CASES

Designed around a role,
not a buzzword.

We are not limited to a fixed set of templates. Architecture starts from the client's workflow, while common roles help define the project scope quickly.

01 / SALES

Sales Agent

Works with inbound requests and helps the sales team keep the next step under control.

  • Lead qualification
  • CRM context
  • Response / task preparation
02 / SUPPORT

Support Agent

Uses a knowledge base and escalates complex or risky requests to a human.

  • RAG over documentation
  • Request classification
  • Escalation
03 / CONTENT

Content Agent

Supports a content workflow using brand, SEO and product context.

  • Structures and drafts
  • SEO context
  • Editorial approval
04 / ANALYTICS

Analyst Agent

Combines multiple data sources and highlights changes that need attention.

  • CRM + advertising
  • Signal + SEO
  • Recurring briefs
05 / MARKETING

Marketing Agent

Automates repetitive marketing operations and campaign monitoring.

  • Metrics collection
  • Deviation checks
  • Task creation
06 / SEO

SEO / Signal Agent

Uses diagnostics and search data as input for technical and content tasks.

  • Signal audits
  • Issue prioritization
  • Change monitoring
07 / OPERATIONS

Operations Agent

Connects internal systems and executes workflows based on events, statuses and policies.

  • API workflows
  • Notifications
  • Data sync
08 / CUSTOM

Custom Agent

For unique workflows, we design a custom role, tools, policies and interface.

  • Custom tools
  • Custom policies
  • Custom UI
03 / BLUEPRINT

One principle.
Different roles.

This interactive blueprint shows how sources, context, actions and control points change for different agent roles.

SELECT ROLE
WEQEX / AGENT BLUEPRINT

Sales Agent

CONTROLLED AUTONOMY
CONTROL RULE

04 / KNOWLEDGE + TOOLS

Data provides context.
Tools provide action.

RAG enables access to internal company knowledge, but it is only one layer. Useful business agents also need permissions, API tools, task memory, policies and result controls.

MINICRMSIGNALBITRIX241C-BITRIXTELEGRAMEMAILWEBSITEREST APIDATABASEFILES
AGENTCONTEXT + TOOLS
CRMKNOWLEDGEMESSAGESAPI TOOLSANALYTICSDATABASE
05 / DELIVERY

From workflow
to production.

We first define what the agent should actually do and where autonomy must stop. Model and interface choices follow the workflow architecture, not the other way around.

01 / MAP

Map the workflow

Triggers, participants, data, exceptions, current manual operations and expected output.

02 / DATA

Define sources

CRM, documents, websites, databases, Signal, external APIs and access rights.

03 / PROTOTYPE

Build the scenario

Test prompts, retrieval, tools and real edge cases.

04 / CONNECT

Connect actions

APIs, webhooks, CRM, Telegram, email and other permitted systems.

05 / CONTROL

Add constraints

Roles, limits, approvals, fallbacks, logs and error handling.

06 / OPERATE

Launch and improve

Observe quality, failures, cost and opportunities to extend the workflow.

06 / CONTROL

Autonomy
does not mean no control.

For a business agent, the model is only one component. We design permissions, approvals and fallback behavior around the cost of an error.

01 / PERMISSIONSLeast privilege

The agent receives only the tools and data required for its specific role.

02 / APPROVALHuman-in-the-loop

Risky actions can require explicit employee approval.

03 / LOGSAction history

Important steps and results should remain available for diagnostics.

04 / FALLBACKEscalate to a human

When context is insufficient or policies are exceeded, the autonomous path stops.

07 / PROJECT FORMAT

We do not sell a “bot in a box”.

Cost depends on connected systems, data, tools, autonomy, interface and load. After decomposition, we define architecture and scope.

Estimate an AI project ↗MiniCRM + AI
FORMATCustom agent / automation
DATARAG, CRM, databases, files, API
CHANNELSWeb, Telegram, email, internal UI
CONTROLRules, approvals, logs, fallback
PRICECustom after decomposition
08 / START

Have a process
worth automating?

Describe who performs the work today, where the data comes from and what output is required. WEQEX will propose an agent and integration architecture.

Discuss the workflow ↗