Research
Find information, compare it, and organize the key points and evidence.
How can AI be used at work?
Research, writing, analysis, translation. AI makes many tasks faster. But personal time savings alone do not become business results. What matters is connecting AI answers to team decisions and the next piece of work.
From AI use to results
- 01Work gets fasterAI supports research, drafting, and organizing
- 02Reuse it as a teamShare answers, edits, and decisions
- 03Move to the next taskConnect to email, calendar, and external services
- 04Measure business resultsThroughput, quality, revenue, cost, risk
First, make one person's work faster.
AI can support many information tasks. As an entry point, raising individual productivity has clear value.
Write
Draft emails, proposals, reports, and explanatory materials.
Organize
Pull the issues and next actions out of long documents, conversations, and materials.
Think
Compare options, check for gaps and concerns, and add material for decisions.
Analyze
Read tables and data to find trends, differences, anomalies, and improvements.
Translate
Communicate in another language, in the context of the counterpart and the work.
Up to this point, a personal AI can do it too. The problem is that the answer stays on the screen of the person who asked, and does not automatically connect to team decisions or the next task.
Time saved is not profit by itself.
Even if one task gets faster, if checking, rework, sharing, re-entry, setup, and training increase, the organization's productivity does not rise. What management looks at is whether the time saved turned into improvements in throughput, revenue, quality, cost, and risk.
How your own work changes
- Tasks take less time
- Drafts get better
- Research and organizing get easier
- The work in front of you finishes sooner
How the company's results change
- More work handled by the same headcount
- Faster decisions and customer response
- Less rework, fewer omissions, less duplicated effort
- Better revenue, profit, quality, and risk
Value that stays with the companyRevenue gained · Costs avoided · Risk reduced−Fees · Setup · Training · Checking · Rework
Connect personal AI use to the organization's work.
INARY is not just a tool that adds more places to ask AI. It is an AI workspace for people and AI to share the same work, carry over the background, edits, and decisions, and move to the next task after review.
Don't stop at one person's answer
Members and INARY join the same thread or chat. Questions, AI answers, follow-ups, edits, and the final decision are visible to everyone involved in the same place.
See Threads →Don't re-explain the background every time
The history of the work, shared information, and past decisions carry over to the next consultation. Even when the person in charge changes, there is less need to explain from zero.
See the AI Assistant →Move answers into real work
Beyond researching and answering, connect to drafting and sending email, checking shared free time, and acting in connected services. Important changes are executed only after a person confirms them.
See Connectors →Don't leave AI to individuals
Operate multiple AI models, member permissions, external actions, usage, and cost as an organization. As users grow, the boundaries of information and responsibility hold.
See Members & Governance →
Not "what it can do" but "how work changes."
Stop copying AI answers and re-explaining them.
Everyone involved sees the same answer, adds experience and concerns, edits it, and reaches a decision in the same conversation.
Learn more →Finish the response as a team, not just the draft.
Look into the matter, write a reply draft, review the shared draft, and send it after a person approves.
Stop comparing several people’s calendars.
Give the participants, period, and duration, and check everyone's shared free time. If it doesn't fit, adjust on the spot.
Stop re-entering AI answers into another screen.
Move work confirmed in INARY into connected services. Changes can be reviewed by a person before they run.
Decide what to measure before you roll out.
"How many people used AI" does not show results. Pick one target task and compare the flow and outcome of the work before and after.
Target taskMeasured on the front lineMeasured by management
Customer responseResearch time, reply time, reworkCases handled, lost deals, customer satisfaction, cost of response
Internal decisionsRe-explanations, meetings, number of checksDecision speed, stalled matters, do-overs
HandoverInformation search, duplicated research, number of questionsRamp-up time, dependence on individuals, variation in quality
AI operationsSetup, tool switching, checking workFees, management burden, risk, overall net effect
When you want to change the organization's work, not one person's tasks.
INARY is a good fit
- You want several people to review and edit AI answers
- You keep explaining the same background
- You want to leave the reasons for decisions to the next person in charge
- You want to carry work through to email and scheduling
- You want to manage permissions, external actions, and usage as an organization
A personal AI is enough
- Mostly drafts and consultations one person completes alone
- No need to share or reuse answers across the organization
- No need to act or approve in external services
- No need for organization-level permissions or cost management