Threada Work
Run di work: queue, approval, evidence, and record of every action.
Check WorkAI dey arrange work & automate workflow
Every request dey become record. Every action dey leave receipt.
When implementation meet late request, dependency, or go-live risk, di exception scatter across email, tickets, and calls. Threada turn each one into governed WorkItem with owner, evidence, approval, and audit trail.
WorkItem № 1042 Implementation & go-live exception tracking
Received 09:14 Implementation lead (raised on behalf of di customer)
Structured 09:14 Di specific launch step wey di exception put at risk
Grounded 09:15 Di customer request, dependency note, and security ask, attached and cited
Approved 11:02 Approve, defer, or descope, recorded with di reasoning
Executed 11:03 Wetin happen next, with di system and owner named
For di record How work dey move through Threada
Na di same five steps, for every team and every channel.
- 01
Connect one channel
Start with web abi email; add Slack, in-app and API intake as you dey grow.
- 02
Every request dey turn WorkItem
Input wey scatter dey turn structured record — dem pull di fields comot, flag wetin no clear, nothing dey lost.
- 03
Answer dey come with evidence
When your knowledge base back di answer, Threada go cite am. When e no back am, e go talk so — and route am go person.
- 04
Action dey wait for approval
Decide wetin go run by itself and wetin need sign-off. High-risk steps dey stay for human hand.
- 05
Outcome dem, for di record
Resolution time, action wey work, audit export — measure wetin dem do, no be how di bot take dey hustle.
Where team dem dey put Threada to work
- Implementation & go-live exception tracking When implementation meet late request, dependency, or go-live risk, di exception scatter across email, tickets, and calls. Threada turn each one into governed WorkItem with owner, evidence, approval, and audit trail.
- Customer operations work Resolve routine request from evidence wey dem cite, abi hand over complete escalation packet wey carry full context.
- Security questionnaire and RFP Answer vendor review for strict citation mode and export di evidence bundle as record.
- IT and procurement request Turn Slack message and email enter structured request wey get approval, policy check and outcome wey dem dey track.
- Review for contract and proposal Pull di key terms comot, flag wetin no follow your playbook, and route am to di right reviewer with context.
- Prep for compliance and audit Gather evidence non-stop, map am to controls, and draft package wey ready for audit with citation.
Di point
Routine work suppose run by itself. People suppose decide di exception dem.
E stand for evidence
Every answer dey cite im evidence — and e dey hold back when none dey.
E get governance
Risky action dey wait for approval. Policy get version, e no scatter anyhow.
E get proof
Every step dey land for audit trail wey you fit export.
Wetin make am reliable
- 01
E no tie to one model, na so we design am
Use di best model for each task and change provider without say you go build everything again. No lock-in to one LLM.
- 02
WorkItems, no be thread wey you go throway
Every request dey turn record wey get state, with owner, evidence and action history. Nothing dey disappear when di tab close.
- 03
Policy controls, no be just prompt
Route, approve, restrict and audit through policy wey get version. Prompt na just one input, no be di whole governance model.
- 04
Execution wey you fit trust
Action dey run through allowlist with idempotency, retry and rollback. No be 'e depend on di integration.'
- 05
Real outcome pass vanity metric
Track containment, resolution time and action wey work — di number wey dey prove say dem do di work.
Five surface, one record
Every workflow dey stay so you fit review am: ask, watch di work, check di evidence, control di action, read di log.
- 01
Intent bar
Talk di goal for plain language and Threada go turn am enter structured request.
- 02
Canvas
Watch as draft, plan and comparison dey take shape inside one workspace.
- 03
Drawer for evidence
Trace di source, reason and diff wey dey behind every answer.
- 04
Controls for action
Approve, schedule, automate abi roll back with clear guardrail.
- 05
Run log
Read every human and agent step for timeline wey you fit search and export.
Pick your front door
Four way enter. One runtime wey get governance dey under am.
Threada Studio
Build di pack dem: schema, policy, eval and release with quality gate.
Check StudioThreada Travel
Corporate travel request, approval and booking inside one flow wey get governance.
Check TravelThreada Invest
Property deal room where every assumption dey for di record.
Check InvestE dey work with di tools wey you don dey run
Integration wey get governance with Zendesk, Jira, Slack and more — credential wey get scope, execution wey you fit audit.
See all di integrations
Question wey people dey ask plenty
Where we suppose start from?
Pick one workflow wey get plenty volume and launch am for one channel. Prove say di answer dem dey correct and escalation dey reach di right people, then expand go more channel and pack.
How Threada take different from ChatGPT abi Gemini for business?
Copilot wey be general-purpose tie to one vendor model. Threada na work platform: every request dey turn WorkItem wey dem dey track, with policy controls, execution wey get governance, and outcome analytics — across any LLM.
We need replace Zendesk, ServiceNow abi Salesforce?
No. Threada dey work side by side with di tools wey you dey use now. E dey capture and structure request, then e dey run approved action for di systems wey you don dey run.
AI fit really handle di edge case dem wey break our last automation?
AI dey handle understanding and structuring. Policy controls, review queue and approval dey handle di exception dem. People dey stay for di loop for anything wey high-risk.
Wetin we fit really measure?
Containment, time-to-resolution, escalation quality, approval cycle time and action wey work — outcome for di record, no be how many interaction.
How we go check safety before we go live?
Run evaluation gate wey go test extraction, routing, grounding and action behaviour. Roll am out small small with canary traffic, shadow mode and one-click rollback.
Na who dey use Threada?
Team wey dey run plenty operational work under accountability: customer operations and support, IT and procurement, security and compliance, and finance operations. If work dey come as request wey dem must answer abi action with record, e fit run for Threada as WorkItem wey get governance.
Wetin Threada dey integrate with?
Di systems where work and action dey — support and ticketing tool like Zendesk, issue tracker like Jira, chat like Slack, plus email and API abi webhook intake. Request dey enter and approved action dey comot as action wey get governance. Check di integrations page for di current list.
Threada no be just chatbot abi AI agent?
No. Chatbot dey answer message and forget am. Threada dey manage di work: every request dey turn WorkItem wey dem dey track, with evidence wey dem cite, policy controls, human approval, action wey get governance, and audit trail — so di work get governance and you fit audit am from start reach finish, no be just reply.
Put your work for di record.
Start free with one workflow. Scale am when di receipt dem prove am.