How Lazarev.agency helped Kontrak IQ recover value and reach signature sooner

The Kontrak IQ home page became an entry point, bringing the user's work context together in one place. The scattered notifications are gone. What truly needs attention now sits on the front screen: contracts requiring attention, upcoming expirations, and current tasks. Users see their priorities and move straight to the right workflow.

A single, general overview forces every user to read past numbers they do not care about. Our team built the Contract Connect Dashboard so each role sees its own portfolio: Client View leads with revenue, Supplier View with contract spend, and Other View with active, expiring, and inactive counts. 

To keep the screen useful for action and not only monitoring, we also linked every analytics block to the contracts behind it. High-level metrics, charts, and lists of expiring contracts lead straight to specific contracts and the next step for each.

An overall status tells a team something is off, but not where the money or the risk sits. We designed Enhanced Dashboards as a separate analytical layer to break the portfolio down by topic: rebates, financial commitments, exclusivity, liability caps, expirations, and more. Each topic gets the format suited to it: a bar chart for rebates, a risk matrix for liability caps, a treemap for exclusivity, a map for financial commitment locations — so users spot any deviations fast.

In the Negotiations workspace, we brought the document, revision history, comments, and clause statuses into a shared context. Everything tied to a negotiation is now visible and trackable in a single space, so no one argues over which version is current.

We also added tools to keep negotiations in hand: playbooks, structured terms, Code View, version comparison, and a rollback option. Users edit the text and see which clauses are missing, which fall short of the standard, and where the latest edits landed. The negotiation runs more transparent, so agreements reach a signature with less back and forth.

Raw AI signals impress in a demo, then go nowhere in real work, because no one knows what to do with them. Our team reshaped Robo Consultant from an abstract AI module into a decision-making assistant: each user gets a prioritized list of actions showing what to do, the value at stake, how long it takes, and the stage each one is at. Users move from analysis to execution in a tap, and the AI earns its keep beyond the legal team.

We also put the reasoning on screen. Every recommendation opens through Who, What, Why, and How, with segments, suggested actions, and the exact contact for the next step. This is how Robo Consultant guides people to act and recovers value the business would otherwise lose.