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AI agents drive productivity.
DingoLink drives AI agents.

DL Workspace brings coordination, execution and governance together so teams can turn AI productivity into completed work. See interruptions sooner, give assignments clear ownership and build workflows your team can repeat.

DL Workspace

Give people and AI a better way to work together.

Organize roles, rules, reviews and handoffs for projects and recurring work. Give your team a method it can use again and improve.

Workspace sets the schedule, owner, working location and review requirements. Agent Team Lead builds teams of agent specialists, assigns bounded work, coordinates handoffs and manages the approval path. It keeps requests for human input, Continuous QC and acceptance checks tied to the job, so the team can see what happens next and verify the result.

Explore DL Workspace
DLDL WorkspaceWorkspace / TodayWorkspace / Project StartWorkspace / Project TrackingWorkspace / Project DetailWorkspace / Agent Health MonitorToday viewProject startTracking viewProject viewHealth view
Today · what needs attentionProject Start · set up the workProject Tracking · work in motionProject Detail · OpState viewAgent Health Monitor · all platformsDingoLink Workspace
Work across your projectsProject: Annual Expense Report4 projects trackedProject: Annual Expense Report15 sessions monitored4 need attentionPlan review2 workingWaiting2 need attention

Where are we?

Current milestoneExpense classification
Forecast windowNov 5–7
Next actorFinance owner

The report is waiting for a decision on one expense category before reconciliation can finish.

Agent work · Agent Team Lead assignments

Assigned roles and standing checks
Agent roleOct 26Oct 28Oct 30Nov 1Nov 3Nov 5Nov 7
Continuous QC
Team Lead
Researcher
Builder
Specialist

Project timeline

Stages and checkpoints
Work stageOct 26Oct 28Oct 30Nov 1Nov 3Nov 5Nov 7
Define need
Set team
Gather statements
Classify expenses
Reconcile totals
Review and accept
DoneIn progressWaiting

Assigned agents

AI Team LeadCoordinating
AI ResearcherSources gathered
AI BuilderWorking
AI SpecialistWaiting
AI Continuous QCChecking

Next actions

Finance owner: resolve expense category

Team Lead: finish reconciliation

Reviewer: check report and evidence

Decisions & history

Work Order v2 · source set agreed

Statement intake completed

Classification decision requested

4Needs your attention
8%System utilization
15Agent sessions monitored

Needs your attention now

Annual Expense ReportSource evidence check stopped · Continuous QC
Stopped
Annual Expense ReportWhich expense category should the specialist use?
Waiting on Input
Q4 billingOwner decision on the cutover date
Waiting on Input
Website refreshReview the launch copy and release checks
Review

Today's schedule

10:30 · Team Lead check-inAnnual Expense Report
Now
13:00 · Finance decisionExpense classification
Next
15:00 · Review gateWebsite refresh
Planned

Agent Health Monitor

13 healthyAcross supported platforms
15 total
2 need attentionOne input request · one stopped
Open

Active work sessions

Team LeadIncome and expense report
Next: owner
BuilderWebsite refresh
Working
ResearcherOnboarding guide
Drafting

Project tracking

4 projects2 working · 2 waiting
View details →
1 · Define the needObjective, owner and desired result recorded
2 · Set the scopeInputs, roles and review path established
3 · Plan reviewHuman owner approves the work plan

Project brief · Annual Expense Report

ObjectiveProduce a reviewed income and expense report
Defined
Project ownerFinance manager
Assigned
Working locationFinance workspace · report folder
Set
Reporting periodCurrent annual cycle
Set
DeliverableIncome and expense report with linked evidence
Required

Work plan

Gather approved source recordsResearcher · finance source set
Ready
Classify and reconcileSpecialist · owner decisions linked
Planned
Draft the reportBuilder · reviewed figures
Planned

Roles and decisions

DirectsFinance manager sets scope and priority
Human
CoordinatesAgent Team Lead assigns specialists
Agent
ReviewsFinance analyst checks the result
Human
AcceptsController records the decision
Human

Controls before work starts

Permitted inputsApproved finance files only
Set
Continuous QCSource, classification and totals checks
Set
Approval gateOwner reviews the plan
Pending
4Active projects
2Moving through work
2Awaiting input or review

Projects and next milestones

Annual Expense ReportClassify expenses → reconcile totals
Waiting on Input
Website refreshBuild pages → release review
Working
Onboarding guideResearch → draft review
Working
Q4 billingChoose billing cutover date
Waiting on Input

Coming checkpoints

Finance reviewAfter totals reconcile
Nov 5
Website release checkCopy and evidence review
Nov 3
Onboarding draftReady for owner review
Nov 7

Work needing a decision

Expense categoryFinance owner · blocks reconciliation
Open
Billing cutoverProject owner · blocks next stage
Open

Recent movement

Website pages builtBuilder completed layout
09:41
Source set updatedAnnual Expense Report · version 3
09:21
Research gatheredOnboarding guide
08:55
Each project keeps its owner, assignments, decisions and evidence connected as work moves.
15Sessions monitored
1Stopped
1Waiting on Input

Agents and sub-agents · all platforms

Continuous QCAnnual Expense Report · source evidence check
Stopped
SpecialistAnnual Expense Report · expense classification
Waiting on Input
Team LeadWebsite refresh · coordinate site build
Working
BuilderWebsite refresh · page layout
Working
ResearcherOnboarding guide · source material
Working
Continuous QCWebsite refresh · release evidence
Checking

Health scan

13 healthyLast scan 4 seconds ago
15 scanned

Selected session

Continuous QCSource check stopped before review finished
Stopped
Open flagsRestart or reassign the check
1

Recent signals

Source check stoppedAnnual Expense Report
09:44
Input requestedExpense category · finance owner
09:37
QC check passedWebsite refresh
09:31

AI efficiency gains need a 24/7 watchdog.

An agent can stop, repeat an unsuccessful approach or wait for an answer while other work moves on. Time is lost before the issue is noticed and again while someone reconstructs what happened. DingoLink helps teams see the interruption, decide what to do next and get useful work moving again.

Explore Agent Health Monitor

Reduce lost time.

Catch stoppages, failures and requests for input sooner. Give the team the context to respond without starting each investigation from scratch.

Bring structure to agentic workflows.

Define the job, its limits, handoffs and completion checks. Repeat working methods that produce useful results.

Manage people and AI effectively.

Enterprise governance makes authority clear: who directs work, what agents may do, when people review it and who accepts the result.

DLAgent Team LeadJob record

Bounded assignment

Waiting for input

Reconcile income and expense categories

Prepare the Annual Income and Expense Report draft with traceable totals and source evidence.

Team Lead coordinates Researcher, Specialist and Builder. Continuous QC checks the work through each stage.

OwnerFinance manager
Assigned agentSpecialist
Permitted inputsApproved statements
DeliverableReport draft
DefineScopePlanWorkReviewAccept

Acceptance checks

Income and expense totals reconcile

Figures link to approved source records

Draft follows the report format

Next: owner confirms expense categoryInput pending

Agent Team Lead

Give every AI assignment a clear path to completion.

Agent Team Lead builds teams of agent specialists around each objective. It gives each agent a defined role and bounded assignment, with permitted inputs, deliverables, limits and an accountable human owner.

It coordinates handoffs and manages the approval path when work needs a human decision. If an agent stalls, fails or goes off course, the team can hand the work to another specialist with its brief, progress and review requirements intact. Continuous QC, findings and acceptance checks stay with the job through review.

Explore Agent Team Lead

One workspace. Three connected capabilities.

Agent Health Monitor makes agent health visible. Agent Team Lead leads defined assignments. DL Workspace coordinates the roles, rules and routines behind the work.

Agent Health Monitor

Multi-platform

See agent status, stoppages, failures and requests for human input across platforms. Connect each issue to the affected work so your team can act sooner.

Explore Agent Health Monitor

Agent Team Lead

 

Give agents defined jobs with deliverables, limits and acceptance checks. Track the work and verify the result.

Explore Agent Team Lead

DL Workspace

 

Organize roles, rules, reviews and handoffs for projects and recurring work. Give your team a method it can use again and improve.

Explore DL Workspace

Keep authority attached to the work.

Governance gives AI work clear boundaries. Define who can initiate an assignment, what an agent may do, when a person must decide and what evidence is needed before a result is accepted. Agent Health Monitor shows what it observes; Agent Team Lead records the job and its checks; DL Workspace carries the rules and responsibilities across the team.

See how DL Workspace works

More agents need a better way to work together.

Multi-agent workflows can expand a team's capacity. They also create more places where work can stop, drift or require human oversight. DL Workspace brings the assignment, its status and the decision path together so teams can get more productive work from AI.

Turn AI work into work your business can use.

DL Workspace connects agent monitoring, assignment leadership and governance so your team can keep productive work moving.

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