Tools & integrations, read from an operations desk

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Google launches Decisions API for fast routing and scoring

Google released the Decisions API, powered by a new model called Gemini Decision 1. It takes one multimodal input and up to 1,000 closed questions, then returns probabilities and confidence scores instead of written text. Google quotes 150-250 ms latency and $0.10 per 1M input tokens, with no output tokens billed.

What changes for operators — If you run support or sales ops, a lot of your automation is really a classification step: which queue does this ticket go to, does this call breach a policy, is this lead qualified. This API prices that step on input tokens alone and returns a confidence value for each answer, so you can auto-handle the clear cases and send low-confidence ones to a person. A reasonable first test is a few hundred of your own tickets or call recordings run through a mix of yes/no and category questions, comparing the scores against what your team decided. Treat Google's cost and calibration claims as vendor figures until your own data confirms them.

Google and Adobe link Acrobat and an AI agent to Gemini

If your sales, support or ops team already keeps contracts, proposals and customer PDFs in Google Drive and Gmail, this could cut the trips between apps for edits. Gemini Enterprise users may also get an agent that drafts graphics and campaign assets. Nothing is live yet and the source gives no rollout dates or pricing, so for now list which PDF and design handoffs cross apps in your workflows and note who owns each one. Once Google and Adobe publish details, you can test one process rather than rework several.

Google Cloud opens Gemini for healthcare in preview

Unless you sell into healthcare, you will not deploy this product, but its design is a useful test for your own processes. It connects to systems the customer already runs, works across several of them in one task, and keeps a person in the approval step. If a sales, support or operations workflow of yours spans a CRM, a billing tool and a document store, and ends in a review someone does by hand, it has the same shape. Map one such workflow before choosing a tool. If you build for healthcare clients, expect them to ask how your work compares with a vendor-native option. The source gives no pricing or general availability date, so nothing here is ready to budget.

Google Adds AI Features to Ads and Analytics Dashboards

For a 10-200 person B2B company, this update mostly touches marketing spend rather than sales, support or internal ops workflows — so the direct impact on process automation is limited. The one thing worth flagging to whoever owns the marketing budget: as Google Ads and Analytics push more AI-driven bidding, targeting and reporting, the attribution data feeding your CRM and revenue dashboards will increasingly reflect Google's automated assumptions rather than raw, auditable inputs. If your sales-ops stack pulls lead-source or conversion data from these tools to trigger follow-ups or score leads, it's worth checking whether the new AI layer changes how that data is labeled or aggregated before it flows downstream.

Google Adds AI "Canvas" to Sheets for Dashboards Without Formulas

For a 10-200 person B2B company, this is meaningful mostly because of where it lives, not because of what it does — most operators are already tracking pipeline, ticket volume, and headcount utilization in some Sheet that a founder or ops lead built and nobody else fully understands. Sheets canvas lowers the cost of getting a usable view out of that data without waiting on someone who knows VLOOKUP or Apps Script, which is useful for a quick sanity check on a Tuesday. It is not a substitute for a real reporting layer: if your sales, support, and ops data lives in three different systems (CRM, helpdesk, spreadsheet), a nicer view on the spreadsheet piece alone won't tell you whether a rep's pipeline number matches what support tickets say about churn risk. Treat this as a convenience upgrade for ad hoc analysis, not as validation that spreadsheets should remain your system of record — the automation opportunity is still in connecting those systems, not decorating one of them.