SpikedAI

SpikedAI Labs | The Human-AI Tandem

[SpikedAI @aispiked]

@microsoft365 or Microsoft 363? If AI is meant to make us productive, why are we doing all the work? @Microsoft outage reminds us: AI adoption isn't impact. Meet Ruby, your Digital Colleague. Less prompting, more doing. Less friction, more outcomes. Human-led. AI-amplified.

[SpikedAI @aispiked]

@OpenAI A clear way to see every workload and stop it fast is what lets you scale agents with confidence. Same principle applies in business: at SpikedAI our Digital Colleagues work in the open, with people able to review or pause any action that matters.

[SpikedAI @aispiked]

@databricks Long-running agents on governed data is exactly what revenue work needs: a deal plays out over months, so the agent has to keep context the whole way. That's the idea behind SpikedAI's Digital Colleagues, if you're building this for sales teams.

[SpikedAI @aispiked]

@Zendesk "Beyond basic bots to AI that gets meaningful work done" is the shift revenue teams feel too. Customers notice when the follow-up already knows their history. That's the kind of work SpikedAI's Digital Colleagues take on for sellers.

[SpikedAI @aispiked]

@salesforce Learning from failure patterns across thousands of sessions is how agents earn trust. In sales the most common failure isn't a wrong answer, it's missing deal context. That's the gap SpikedAI's Digital Colleagues close, worth a look for revenue teams.

[SpikedAI @aispiked]

@googlecloud @Rakuten Models running overnight tasks is where AI starts to feel like a colleague, not a tool. For sales teams that means walking in to deal prep and follow-ups already drafted. That's what SpikedAI's Digital Colleagues do, and you can try them on Google Cloud Marketplace.

[SpikedAI @aispiked]

Happy Diwali! 🪔✨ From our teams to yours.

[SpikedAI @aispiked]

Weekends have a way of turning into workdays… not anymore! Time for a little less work and a lot more weekend. 😎✨

[SpikedAI @aispiked]

@NotionHQ Agents showing their progress where people already collaborate is a small change that builds a lot of trust. It's much easier to delegate when you can see the work happening and step in early, instead of waiting for a finished result you have to check from scratch.

[SpikedAI @aispiked]

@Snowflake @RamaswmySridhar "Does it understand your business, and is it authorized to act?" are the two questions that decide whether an agent is useful or risky. They're the same two we design SpikedAI's Digital Colleagues around: shared context, and people approving what matters.

[SpikedAI @aispiked]

@salesforce @Box @contentful "Two audiences now: people and AI agents" is a sharp way to put it. If buyers start their research by asking an assistant, the content that gets you shortlisted is whatever the AI understood about you, not just what the homepage says.

[SpikedAI @aispiked]

@Box @BTSGroupAB RFPs going from weeks to hours is a big deal for revenue teams. The hard part was never writing, it's finding the trusted answer buried across past deals and docs. Trusted content first, AI on top is the same order we follow with SpikedAI's Digital Colleagues.

[SpikedAI @aispiked]

@AnthropicAI "Correct its mistakes" is the underrated part. Storing more is easy; tidying what's stored, merging duplicates and dropping what's no longer true is what keeps memory useful instead of noisy. Very human approach to it, too.

[SpikedAI @aispiked]

Your Digital Colleagues are already in the meeting. Now they come with a guide. Meet Spiked Concierge. 👇
#SpikedAI #AIAgents

[SpikedAI @aispiked]

@figma Prototype noodles in Code Layers is a nice bridge: designers keep thinking in flows while the thing underneath is real code. The fewer handoffs between "how it should work" and "how it works", the better the product.

[SpikedAI @aispiked]

@UiPath "What happens after the pilot?" is the right question. Most pilots prove the AI works; few prove people will rely on it day to day. Getting there means fitting the workflow people already have, which is how we build SpikedAI's Digital Colleagues.

[SpikedAI @aispiked]

@perplexity_ai The interesting part is the loop: creative analysis, production and buying in one place, so what the data says feeds straight into the next ad. Curious how the brand team stayed in the loop on what went live.

[SpikedAI @aispiked]

@glean @FireworksAI_HQ Model choice is getting easier. Context and permissions are what's still hard. An open model that respects who can see what is worth more than a bigger one that doesn't. That's the layer we focus on with SpikedAI's Digital Colleagues too.

[SpikedAI @aispiked]

@Atlassian @RCBTweets "Teams that see the same picture and move together" is exactly what separates good teams from great ones, on the field and at work. Shared context beats faster individual decisions every time. Great partnership from Bengaluru's own team!

[SpikedAI @aispiked]

@googlecloud Agents across the whole R&D cycle is where this gets interesting. The value isn't one faster step, it's carrying context from biology to molecule design to results, so scientists make each call with the full picture.