AI AGENTS / AUTONOMOUS SYSTEMS LIVE DEMO
Custom AI agents that
reason, act & complete work.
An AI agent receives an objective, understands context, decides what to do next, uses approved tools and verifies the result. We build agents with memory, permissions, guardrails and human-in-the-loop controls for real business systems.
SCROLL TO INITIALIZE ↓
CUSTOM AI AGENTS
What does an AI agent do?
An AI agent receives an objective, understands context, plans the next steps, uses approved tools and verifies the result. WHX Digital builds those capabilities into governed business systems with permissions, evaluation and human escalation.
01 / WHAT IS AN AI AGENT?
A workflow becomes a worker
when it can close the loop.
INPUTRULEOUTPUT
GOALUNDERSTANDPLANACTVERIFYCOMPLETE
STATIC WORKFLOW ADAPTIVE AGENT
02 / AGENT BRAIN
Six moves.
One adaptive system.
- PERCEIVE
- REASON
- PLAN
- ACT
- VERIFY
- ADAPT
AI
BRAINTHINKING...
BRAINTHINKING...
03 / AGENT LOOP
Progress is a
continuous decision.
GOALCONTEXTREASONPLANTOOLACTIONOBSERVEVERIFYCOMPLETE
THE AGENT LEARNS FROM EVERY PASS ?
04 / TOOLS & ACTIONS
Intelligence is useful
when it can touch reality.
AIAGENTROUTING ACTION
ACTIONEXECUTE
05 / AGENT MEMORY
Context that compounds
with every task.
SHORT-TERMcurrent taskLONG-TERMlearned patternsBUSINESS MEMORYyour operating knowledge
INCOMING TASKQUALIFY NEW CUSTOMER↓RETURNING WITH CONTEXTCUSTOMER + HISTORY + INTENTCONTEXT RETAINED
06 / MULTI-STEP TASK
Watch the work happen
from goal to outcome.
TASK / 0084QUALIFY NEW CUSTOMERRUNNING
- 01Prospect signals gatheredResearch / web + firmographicsDONE
- 02Account history syncedCRM / contacts + activityDONE
- 03Buying intent modeledAnalysis / fit + urgencyDONE
- 04Next-best action draftedRecommendation / route + timingDONE
- 05Opportunity record updatedCRM / score + ownerDONE
- 06Sales pod briefedNotification / context attachedDONE
TASK COMPLETED 100% / VERIFIED
07 / HUMAN-IN-THE-LOOP
Autonomy with
the right guardrails.
AGENT DECISIONDECISION REQUIRED
Risk threshold exceeded. Route to the right human.
LOW RISK AUTO EXECUTEHIGH RISK HUMAN REVIEW
HUMAN REVIEWApprove next action?
08 / MULTI-AGENT SYSTEM
One agent is useful.
An AI workforce is leverage.
ORCHESTRATOR
RESEARCHSALESSUPPORT
BUSINESS SYSTEMS
09 / EVALUATION
Better agents are
measured in the open.
TEST RUNSRUN 001RUN 002RUN 003RUN 004RUN 005
TASK SUCCESS 94%RELIABILITY 91%TOOL ACCURACY 97%GROUNDING 89%SAFETY 99%DEMO / ILLUSTRATIVE METRICS
10 / USE CASES
Built for the work
your business repeats.
11 / CROSS-DEPARTMENT ORCHESTRATION
One objective.
Every department connected.
Agents coordinate across sales, support, finance and operations · sharing context and handing off tasks without manual hand-holding.
ORCHESTRATION LAYER / LIVE
ROUTING
SELECT A DEPARTMENT
Choose a department to see how the orchestrator routes work across the system.
SHARED CONTEXT—MEMORY + DECISIONS + SIGNALS
12 / FEEDBACK-DRIVEN IMPROVEMENT
Agents that learn
from every run.
Evaluation data flows back into the system. Every outcome, error and edge case makes the next run more reliable.
IMPROVEMENT LOOP / LIVE
CONTINUOUS LEARNING
01TASK RUNagent executes goal
02EVALUATEoutput scored + reviewed
03LOG RESULTpatterns stored
04IMPROVEnext run benefits
SELECT A FEEDBACK TYPE
Choose a signal type to see how it flows back into agent improvement.
13 / ENTERPRISE SYSTEMS INTEGRATION
Agents that connect
to systems you already use.
WHX agents integrate with your existing enterprise stack · CRM, ERP, ITSM, databases and APIs · without replacing what works.
CONNECTED SYSTEMS / LIVE
ENTERPRISE MODE
SELECT A SYSTEM
Choose an integration to see how the agent connects to your enterprise stack.
14 / HUMAN-IN-THE-LOOP CONTROLS
AI moves fast.
Humans stay in control.
Every high-risk or high-value action can be routed for human review before execution. Autonomy where it's earned, oversight where it matters.
APPROVAL WORKFLOW / LIVE
AWAITING REVIEW
AGENT DECISION
HIGH-VALUE ACTION DETECTED
↓
Contract value exceeds threshold. Routing to human approval before execution.
LOW RISK AUTO EXECUTE
HIGH RISK HUMAN REVIEW
APPROVAL REQUIRED
Approve this action?
Update contract status and trigger payment workflow for Northstar Labs · $48,000.
AI
BOT
CODING
WORKFLOW
AUTOMATION
ADVANCED AI
01CONTEXTmemory + signals02AI BRAINTHINKING...03TOOLSAPIs + actions
MEMORY NODE CONNECTEDcustomer context / retained
OUTCOMEREADY
SCROLL TO INITIALIZE ↓
CUSTOM AI AGENTS
What does an AI agent do?
An AI agent receives an objective, understands context, plans the next steps, uses approved tools and verifies the result. WHX Digital builds those capabilities into governed business systems with permissions, evaluation and human escalation.
01 / WHAT IS AN AI AGENT?
A workflow becomes a worker
when it can close the loop.
INPUTRULEOUTPUT
GOALUNDERSTANDPLANACTVERIFYCOMPLETE
STATIC WORKFLOW ADAPTIVE AGENT
02 / AGENT BRAIN
Six moves.
One adaptive system.
- PERCEIVE
- REASON
- PLAN
- ACT
- VERIFY
- ADAPT
AI
BRAINTHINKING...
BRAINTHINKING...
03 / AGENT LOOP
Progress is a
continuous decision.
GOALCONTEXTREASONPLANTOOLACTIONOBSERVEVERIFYCOMPLETE
THE AGENT LEARNS FROM EVERY PASS ?
04 / TOOLS & ACTIONS
Intelligence is useful
when it can touch reality.
AIAGENTROUTING ACTION
ACTIONEXECUTE
05 / AGENT MEMORY
Context that compounds
with every task.
SHORT-TERMcurrent taskLONG-TERMlearned patternsBUSINESS MEMORYyour operating knowledge
INCOMING TASKQUALIFY NEW CUSTOMER↓RETURNING WITH CONTEXTCUSTOMER + HISTORY + INTENTCONTEXT RETAINED
06 / MULTI-STEP TASK
Watch the work happen
from goal to outcome.
TASK / 0084QUALIFY NEW CUSTOMERRUNNING
- 01Prospect signals gatheredResearch / web + firmographicsDONE
- 02Account history syncedCRM / contacts + activityDONE
- 03Buying intent modeledAnalysis / fit + urgencyDONE
- 04Next-best action draftedRecommendation / route + timingDONE
- 05Opportunity record updatedCRM / score + ownerDONE
- 06Sales pod briefedNotification / context attachedDONE
TASK COMPLETED 100% / VERIFIED
07 / HUMAN-IN-THE-LOOP
Autonomy with
the right guardrails.
AGENT DECISIONDECISION REQUIRED
Risk threshold exceeded. Route to the right human.
LOW RISK AUTO EXECUTEHIGH RISK HUMAN REVIEW
HUMAN REVIEWApprove next action?
08 / MULTI-AGENT SYSTEM
One agent is useful.
An AI workforce is leverage.
ORCHESTRATOR
RESEARCHSALESSUPPORT
BUSINESS SYSTEMS
09 / EVALUATION
Better agents are
measured in the open.
TEST RUNSRUN 001RUN 002RUN 003RUN 004RUN 005
TASK SUCCESS 94%RELIABILITY 91%TOOL ACCURACY 97%GROUNDING 89%SAFETY 99%DEMO / ILLUSTRATIVE METRICS
10 / USE CASES
Built for the work
your business repeats.
11 / CROSS-DEPARTMENT ORCHESTRATION
One objective.
Every department connected.
Agents coordinate across sales, support, finance and operations · sharing context and handing off tasks without manual hand-holding.
ORCHESTRATION LAYER / LIVE
ROUTING
SELECT A DEPARTMENT
Choose a department to see how the orchestrator routes work across the system.
SHARED CONTEXT—MEMORY + DECISIONS + SIGNALS
12 / FEEDBACK-DRIVEN IMPROVEMENT
Agents that learn
from every run.
Evaluation data flows back into the system. Every outcome, error and edge case makes the next run more reliable.
IMPROVEMENT LOOP / LIVE
CONTINUOUS LEARNING
01TASK RUNagent executes goal
02EVALUATEoutput scored + reviewed
03LOG RESULTpatterns stored
04IMPROVEnext run benefits
SELECT A FEEDBACK TYPE
Choose a signal type to see how it flows back into agent improvement.
13 / ENTERPRISE SYSTEMS INTEGRATION
Agents that connect
to systems you already use.
WHX agents integrate with your existing enterprise stack · CRM, ERP, ITSM, databases and APIs · without replacing what works.
CONNECTED SYSTEMS / LIVE
ENTERPRISE MODE
SELECT A SYSTEM
Choose an integration to see how the agent connects to your enterprise stack.
14 / HUMAN-IN-THE-LOOP CONTROLS
AI moves fast.
Humans stay in control.
Every high-risk or high-value action can be routed for human review before execution. Autonomy where it's earned, oversight where it matters.
APPROVAL WORKFLOW / LIVE
AWAITING REVIEW
AGENT DECISION
HIGH-VALUE ACTION DETECTED
↓
Contract value exceeds threshold. Routing to human approval before execution.
LOW RISK AUTO EXECUTE
HIGH RISK HUMAN REVIEW
APPROVAL REQUIRED
Approve this action?
Update contract status and trigger payment workflow for Northstar Labs · $48,000.
SELECT AN ACTION
Choose Approve, Modify or Reject to see how the system responds.
AI AGENT FAQ
Questions on agent architecture.
Chatbots only answer text prompts based on fixed training. Autonomous AI agents can break down goals, plan multi-step execution paths, call approved API tools, verify results, and complete end-to-end work.
Agents utilize dynamic context windows for active task execution paired with vector and relational databases to recall past customer state, past decisions, and system history across extended sessions.
Agents operate under strict permission boundaries, sandboxed tool definitions, schema validation, and Human-in-the-Loop approval gates for high-impact actions.
Yes. Our model routing engine directs simple subtasks to fast, lightweight models while reserving frontier reasoning models for complex analytical decisions, optimizing speed and costs.
Agents perform self-reflection and re-planning. If a tool returns an error or missing parameters, the agent either retries with corrected context or invokes a fallback tool strategy.
Yes. Every prompt, reasoning step, tool invocation payload, and output is timestamped and stored in full execution telemetry traces for complete auditability.
READY TO DEPLOY
Give your business
an AI workforce.
GOAL↓AGENT↓TOOLS↓ACTION↓OUTCOME
Start building WHX DIGITAL / AUTONOMOUS SYSTEMSFAQS
AI Agents
An AI agent is an autonomous system that uses a large language model to reason, plan, and execute tool calls (like APIs) to achieve a goal.
Yes, agents can be equipped with tools to search the web, read databases, or trigger webhooks in your business software.
Yes, through secure API integrations, an agent can push contextual summaries or update status fields in CRMs like HubSpot or GoHighLevel.
Yes, we implement human-in-the-loop checkpoints so an agent will pause and request authorization before taking critical actions.
We use scoped API permissions, rigid output parsing, and deterministic business rules to ensure the agent cannot perform actions outside its sandbox.
Disclaimer: AI systems can produce incorrect outputs. High-impact actions may require validation, permissions or human approval. Third-party API availability can affect workflow execution.