01
Better answers from company knowledge
Policies, notes, source links, and working documents can travel with the request instead of being pasted into every new chat.
Company AI with context and control
Put AI to work without losing how your business works.
EmployAI brings company knowledge, model choices, permissions, and human review into one working system. Teams get useful help without handing over the decisions that still need a person.
Start with operations, support, education, compliance, or any workflow where context and accountability matter.
Example work record
Operations ยท Request 017Prepare the weekly supplier risk review
Context attachedProcurement policy, vendor list, last review
Working modelSelected by the operator
PermissionDraft only
Human ownerOperations lead
01Request received
02Approved sources attached
03Draft prepared
04Waiting for operations review
The request, context, model choice, permission, and review stay together.
3 approved sources
Human review ready
Approved contextVisible model choicePractical permissionsHuman reviewTraceable sessionsReusable knowledgeApproved contextVisible model choicePractical permissionsHuman reviewTraceable sessionsReusable knowledge
What changes for the team
The useful part is not the chat. It is everything the work keeps around it.
EmployAI gives everyday AI work a clear brief, relevant company material, named boundaries, and somewhere to review what happened.
02
Less time rebuilding the brief
Teams can keep the useful context and decisions from earlier sessions, so follow up work starts with a clearer picture.
03
Review where it is actually needed
Routine drafting can move quickly while sensitive actions wait for the person responsible for the outcome.
04
A record people can return to
The model, sources, permissions, review choices, and session history remain visible around the work.
The people doing the work should still recognise the process, the sources, and the point where their judgement is needed.
Designed around real work
AI should remove the repeated effort, not remove the person responsible for the result.
EmployAI is most useful when a team already has a process, a body of knowledge, and clear decisions to make. The platform helps bring those pieces together without pretending every task should become autonomous.
- The same policies and documents are searched again and again.
- People spend time rebuilding context before useful work can start.
- Drafting can move faster, but approval still belongs to a named person.
- The team needs to understand what happened after the work is complete.
How it works
A clear route from company knowledge to reviewed work.
Each stage has a purpose. Nothing important needs to disappear behind the chat window.
01
Context is ready
Bring the right material together
Connect the policies, folders, notes, websites, or cloud sources the work depends on.
02
Boundaries are clear
Set a clear brief
Describe the job, choose an available model, and decide what the system may do without asking.
03
Work is traceable
Run the work in one session
The request, company context, model choice, and progress stay together while the work is being done.
04
People make the call
Review the important parts
A person can check the draft, approve an action, correct the result, or send the work back with a note.
05
The next task starts better
Keep what proved useful
The team can return to the session, reuse the useful context, and carry corrections into the next request.
Control stays close to the work
People can see the context, the boundary, and the decision.
EmployAI keeps the practical controls beside the task instead of burying them in a settings page. The team can understand what the system was given, which model worked on it, and why the task is waiting for review.
See how governance worksTeams decide which folders, documents, links, and notes belong with a piece of work.
People can see which sources were attached.
Where teams start
One focused role is usually enough for the first useful result.
Give the system a narrow brief, the right material, and a clear point of review. Expand only when the team has seen what works.
Operations
Operations coordinator
Prepare recurring updates, collect missing information, and keep handoffs moving between teams.
A lead reviews external actions and exceptionsRisk and compliance
Compliance reviewer
Organise evidence, compare material with policy, and prepare items that need a formal decision.
A qualified reviewer owns the final decisionCustomer operations
Customer support assistant
Prepare replies from approved information, summarise case history, and route unusual requests.
Sensitive cases wait for an authorised personFinance
Finance operations assistant
Prepare checks, collect supporting records, and draft internal summaries for routine finance work.
Approvals and payments remain with finance staffPeople
People operations assistant
Answer policy questions, prepare onboarding material, and organise recurring employee administration.
Personal and employment decisions stay with people teamsIndustries
Useful wherever good work depends on the right context and a responsible decision.
The strongest fit is usually document heavy, repeatable work where a draft or prepared action can save time without removing human judgement.
Sector 01
Further education
Useful for colleges, training providers, and student service teams handling repeated questions and document heavy administration.
See the full sector viewUseful work
- Student enquiry preparation
- Course and policy lookup
- Training record summaries
Keep with people
Academic judgement, welfare cases, admissions decisions, and formal approvals remain with staff.
A practical pilot
Start with work your team already understands.
There is no need to begin with a company wide rollout. Choose one repeated workflow, bring the people who know it into the room, and test whether the system makes that work clearer.
A good pilot uses real material, real review points, and a result the team can judge for themselves.