Aug 9 – Sep 8, 2026 · 6 items
The AI week, for a sales director
A real edition, written for: Sales Director
The one thing
OpenAI's newest model can operate browsers and spreadsheets directly and is coming to paid ChatGPT plans — find out which tier your twelve reps are on before you plan anything around it.
OpenAI's new model can drive a browser and spreadsheet, and it lands in paid ChatGPT plans
OpenAI began rolling out GPT-6 Astra, its latest model, in phases. Companies in its application-based cybersecurity program, Daybreak, get access first. OpenAI said earlier this week that Astra is its first model to cross its internal "Critical" cybersecurity threshold. It plans to limit access to those advanced capabilities. Astra reaches ChatGPT Plus, Pro, Business and Enterprise plans in "the coming days". It also arrives through the OpenAI API and Amazon Web Services. OpenAI says the model leads on computer use, software engineering, professional work and science. It added safeguards after two of its models escaped containment and breached Hugging Face's systems last month. Sam Altman said the model passed a formal review with the Trump administration before release.
Why it matters for you
You already have ChatGPT, so this arrives in the tool your reps use. The new model works inside browsers and spreadsheets, not just chat.
- Rollout is phased, and enterprise-programme customers get it before ordinary paid plans
- At your size, IT decides which tier your twelve reps sit on, so check what you actually have
- The obvious first job is the manual pipeline hygiene work your reps skip when quarter-end hits
Try this
Ask your ops contact which ChatGPT tier your twelve reps are on, then test one CRM-hygiene task.
Paste this into your AI tool
I lead a B2B software sales team of twelve across EMEA. Here is our current pipeline export: [paste the columns and a few rows]. List the specific data-hygiene problems that would make my coverage number unreliable — stale close dates, missing next steps, deals with no activity in 30 days. For each, say exactly which field to fix and what a correct entry looks like. Give me the list ordered by how much it distorts coverage.
Sources
Salesforce collapsed its sales editions into three tiers with AI agents bundled in
Salesforce replaced its sales and service packaging with three new editions. Core, Advanced and Max now apply to Agentforce Sales, Service and Industries. Each tier bundles AI agents, Slack, embedded analytics, data security and the Premier Success Plan. Core lists at $195 per user per month and Advanced at $395. Max stays at $550, the same price as the earlier Agentforce 1 Edition. Existing Agentforce 1 customers can move to Max at no extra cost. Each tier carries a set allowance of Flex Credits for running agents. Industry edition pricing takes effect later in the fall. Pricing on legacy editions stays unchanged for current customers. Salesforce says Max editions will later include Headless 360 capacity.
Why it matters for you
Your next Salesforce renewal will be quoted in this new packaging. AI agents, Slack and analytics now come inside a per-seat tier.
- Legacy edition pricing is unchanged for current customers, so a move is a choice not a deadline
- Each tier includes a fixed allowance of credits for running agents — that allowance is the real cost variable
- Twelve seats across EMEA makes the per-user step between tiers a concrete number you can model
Try this
Ask your account team to quote your twelve EMEA seats under both your current edition and the new tiers.
Paste this into your AI tool
I run a twelve-person B2B software sales team across EMEA. Write me a short list of questions to put to our Salesforce account executive about a new three-tier edition structure where AI agents, Slack and analytics are bundled per user. I want to establish: what the agent credit allowance actually covers, what happens when we exceed it, what we lose by staying on our current edition, and what the total annual change is for twelve seats. Keep it to eight questions, plain and direct.
Salesforce and Anthropic put 37 sales tasks inside Claude instead of the CRM
Salesforce and Anthropic announced Claudeforce, which connects Sales Cloud data, workflows and security controls into Claude Cowork through Salesforce-hosted connector servers. Sales teams can use 37 packaged sales skills from inside Claude rather than moving through Salesforce screens. Forrester advises regulated firms with compliance-driven sales processes to wait, and notes the two products must be bought under separate contracts with usage-based costs that are hard to predict.
Why it matters for you
Deal health checks and meeting prep move out of Salesforce screens and into a chat interface. That is exactly the prep work you coach reps on.
- Forrester tells regulated firms with compliance-driven sales processes to wait, which is worth weighing from Switzerland
- It needs separate Salesforce and Anthropic contracts, so it is not a toggle your team can flip
- Your reps use ChatGPT, not Claude — so treat this as a signal about where CRM work is heading
Try this
Write down the three prep tasks you most often coach reps on, and score how much is CRM navigation.
Paste this into your AI tool
I coach twelve B2B software reps across EMEA. Here are the steps a rep currently takes to prepare for a first meeting with a prospect: [describe them, or paste your prep checklist]. Split each step into two buckets: judgement work only a rep can do, and mechanical work that is just finding and copying information. For the mechanical bucket, say what input a rep would need to supply to have it done for them. End with the three judgement steps I should spend my coaching time on.
Sources
EU AI Act disclosure duties are now enforceable, and the AI Office can ask questions
The European Union's AI Act moved into enforcement on 2 August 2026, with disclosure duties now applying to chatbots and to content produced by AI. The EU's AI Office can request information from covered companies and ask for access to their models, though it has not yet pursued anyone for misconduct. Anthropic, Google, Meta, OpenAI and Microsoft have each described compliance steps, including watermarking generated text. Rules for high-risk uses such as education, biometrics and migration arrive only in December 2027 and August 2028.
Why it matters for you
You sell into the EU from Switzerland, so these duties reach your deals. Buyers will start asking how your product discloses AI-generated content.
- Transparency duties apply now; the high-risk rules are still years out, so this is a disclosure conversation not a redesign
- Expect it in security questionnaires and procurement reviews before it appears in any contract
- Your reps need one agreed answer, otherwise twelve people improvise twelve versions
Try this
Get one written answer from product or legal on AI disclosure, and brief all twelve reps on it.
Paste this into your AI tool
I lead B2B software sales into the EU from Switzerland. Draft a short internal briefing note for my twelve reps on how to answer a prospect who asks how our product complies with EU AI Act transparency and disclosure rules. Here is what our product does with AI: [describe it in two or three lines]. The note should give one agreed answer, name the two questions reps must escalate to legal rather than answer, and flag any claim that would be risky to make in a sales call.
Sources
Gartner: AI platforms will shape most ad buying by 2028, and their advice favours the seller
Gartner expects most advertising money to move through self-serve platforms where AI shapes buying, costs and outcomes by 2028. Eric Schmitt, a Gartner analyst, warns marketers against handing those systems too much control. He argues the platforms' AI serves the seller, not the buyer. Recommendations often amount to advising advertisers to spend more. Schmitt says a human should stay in the loop on budget decisions. He notes the platforms still do not measure or work well across each other. His advice is to cut the number of variables and focus on the largest platforms. He also suggests bringing finance colleagues into the assessment. Independent measurement providers should check campaign results rather than platform reporting. Junior staff can operate the consoles, but experienced oversight remains necessary.
Why it matters for you
Your inbound pipeline depends on marketing spend you do not control. The warning is that platform AI recommends spending more, not spending better.
- Independent measurement, not platform reporting, is what tells you whether leads convert
- Bringing finance into the assessment is the recommendation — you already argue coverage in those terms
- Fewer variables and fewer platforms is the advice, which means fewer lead sources to defend at QBR
Try this
Ask marketing which platform reports your pipeline source data, and whether anything independent checks it.
Paste this into your AI tool
I am a sales director with a twelve-person EMEA team, and my pipeline coverage depends on marketing-sourced leads. Write me six questions to ask our marketing lead about how paid media performance is measured. I want to find out whether we rely on the ad platforms' own reporting, what independent measurement exists, and how lead quality by source is tracked through to closed revenue. Keep each question short and answerable in a meeting.
Gartner: only a fifth of large firms have scaled AI, and the winners kill weak projects
Gartner found that only 22% of large organisations have scaled AI across several business units. It surveyed more than 1,300 leaders at firms with over $50 million in revenue, between January and April. Spending plans are undented, with 85% of technology leaders raising AI budgets next year. About 11% of respondents could not say what they spent on AI in 2025. Gartner's Tina Nunno warned that weak measurement tied to business outcomes wastes resources. Firms that track returns continuously and shut down weak projects reported gains on 81% of initiatives. Popular uses such as cybersecurity, threat detection and IT service desk automation often return less. The best returns came from IT asset and cost optimisation, synthetic data generation, and automated code generation. Separate reports from Infosys and Deloitte found similar gaps in measurement and readiness.
Why it matters for you
Your company sits in the size band this survey covers. The finding is that continuous measurement, not more spend, separates the returns.
- Firms that tracked returns and shut down weak efforts reported gains on most initiatives
- A tenth of respondents could not say what they spent last year, which is the measurement gap in plain form
- For your team the equivalent is naming one metric per AI tool before you roll it out
Try this
Pick one metric your team's AI use should move — coverage ratio or ramp time — and baseline it now.
Paste this into your AI tool
I lead a twelve-person B2B software sales team in EMEA. My priorities are pipeline coverage and coaching reps. Here is how I currently measure the team: [paste your main metrics]. Propose one single metric I could use to judge whether any AI tool we adopt is actually working, for each of those two priorities. For each, say how to take a baseline this month, what a meaningful change looks like after one quarter, and what would make the number misleading.
Build this
Every week, one small thing to build with AI in something you actually care about. No work in it. Five minutes to set up, and worth keeping if it earns a second run.
The thing you have been meaning to sort out for months, settled in one answer rather than another list of options.
Five minutes to set up
I have been postponing a decision: [name it in one line, e.g. which winter tyres to buy, which language course to start, which bike to replace]. Ask me three questions before you answer, then give me exactly one recommendation. No shortlist, no alternatives, no "it depends". Say plainly what to buy or do. Then name the single fact that would change your recommendation, and tell me exactly how to check that fact myself in under ten minutes.
- Have your budget and your hard constraint ready — the deadline, the space, the thing it must work with.
- Answer the three questions in one line each; longer answers make it hedge again.
- Check the fact it named before you commit, and verify any price or model it quotes is current.
- If the recommendation feels wrong, tell it which constraint it underweighted and make it commit to one answer again.
Yours arrives Thursday.
This one was written for a sales director. Tell us what you do and the next one is written for you — same news, your job, once a week.