AI won't fix your sales - your data and humans will

If you've spent the last 12 months feeling like every consulting peer is further ahead on AI than you are... take a breath. They aren't. They're just posting about it.

The honest version of where the market sits , told by someone who's done sales enablement for a quarter of a century, is much messier - but much more solvable - than your LinkedIn feed suggests.

Dannii Mathers is a Go-To-Market Consultant at SBR Consulting, specialising in AI enablement. She joined CMap's ConCon26 to open the day with a session on prospecting, pitching and closing in the AI era.

What she shared was less about new tools and more about the unglamorous order of operations that separates firms getting compounding value out of AI from the firms burning the cycle.

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1. The FOMO is the first thing to put down

Most leaders Dannii speaks to walk in convinced everyone else is ahead. The data says otherwise.

Most firms are in the same place: early, uneven, and unsure.

The boutique firm advantage is real, though. There's less legacy, fewer instances of the same broken CRM, and more permission to start cleanly.

Most people are kind of in the same area. You can certainly clean your data far easier than somebody who's got five instances of Salesforce.

• Stop benchmarking yourself against the loudest voices in your feed

• Audit where you're actually behind versus where you're imagining you're behind

• Use your smaller size as the advantage it is: pick a single workflow & do it properly

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2. Bad data is no longer an admin issue - it's a sales issue

For 25 years, consulting firms got away with patchy CRM hygiene because the outcome - revenue - papered over the inputs.

That deal is off. The moment AI sits on top of your sales motion, every gap in your data degrades the output.

Hiding behind bad data is no longer feasible if you want to get the impact from AI.

• Identify your single source of truth - whether that's a CRM or PSA - and commit to it

• Lock the stage-gate inputs your AI workflows will read (deal stage, persona, decision-maker, third-party validation references)

• Treat data hygiene as a sales leader's KPI, not an ops afterthought

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3. AI scales whatever you've got - including the rubbish

The single biggest visible change in consulting outreach this year AI volume, not AI qulality.

Mediocre prospecting has gone industrial. That's terrible news if your firm tries to compete on volume... but it's an unbelievable opening if you compete on craft.

What we're seeing now is the scale of mass rubbish. Whereas before people would send really bad emails and you'd get a few, now we're scaling that poorer quality.

• Segment your prospect tiers ruthlessly - AI volume on tier three, human craft on tier one

• Build a 'pass test': would a real human writing this from scratch sign their name to it?

• Reinvest the BD hours you save on prep into the conversations that matter

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4. The AI productivity paradox is real (and temporary )

AI was supposed to give time back. And yet the senior people doing it well are working harder than ever.

That's not a failure of AI. It's the design and evaluation cost that always shows up when a craft compounds.

I'm actually working more hours and harder than I've ever worked before — because I'm trying to keep on top of AI. That is a full-time job in itself.

• Carve out one person, even part-time, whose job is the AI enablement layer for your firm

• Build evaluation into your agent workflows from day one - outputs and outcomes, weekly

• Accept the front-loaded cost: design once, run forever

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5. The next-decade BD skill is being a buying environment

If 60% of the buyer journey is already happening agent-to-agent, the human moment your firm gets has to be radically higher quality.

Dannii's frame is simple: stop creating selling environments. Start creating buying environments.

What do you want them to know? How do you want them to feel? What do you want them to do? Think that way very quickly when you're into that mode, and you'll have a better opportunity of connecting with your clients.

• Before every meaningful prospect interaction, write the know / feel / do triple

• Train every client-facing consultant on a challenger-style conversation - not pitch decks

• Invest in the skills agents can't replicate: judgement, provocation, emotional intelligence

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Final thoughts

So, having the most AI tools won't be what gets you ahead in the next three years. But fixing your data, naming your process, and freeing your best humans to do the parts of the job machines can't will.

Dannii's session was a useful reset for anyone catastrophising about AI in BD. The opportunity is real. The order of operations is unsexy. Start there.