Our services
We embed senior engineers, put frontier AI behind them, and ship working software in weeks - then prove it with the numbers.
Learn moreOfferings
Modernize in place 47 days Your core system can't meet a date you can't move. 
Re-platform the core 3.5x Every change to your core costs more than the last one. 
Move one operating number 10 min Your cost to serve keeps climbing, and no headcount is coming. 
CRM estate: upgrade, or get out 2.3x Your CRM is too tangled to run the AI you already pay for. 
AI in the engineering org You're paying for coding agents and can't prove what they bought. AI transformation
AI discovery Six weeks to a costed roadmap your board can approve Legacy migration Modernize your stack in months, not years Platform rebuild New-market platform extension in 10 weeks, not 8–9 months Operations re-engineering Replace manual processes with AI workflows that scale with you Claude Code and Codex Pair every engineer with a coding agent. Salesforce implementation Stand up production Salesforce in weeks, not quarters Case studies
Real implementations that shipped to production and moved a real metric.
Learn moreLatest
4x-ing AVPN's member onboarding throughput, in 5 weeks ~4× Social investment A university's month-end close went from three days to under ten minutes 10 min Higher education A Singaporean public university's full academic year of contracts, in one click 95% Higher education 
A 25-year-old financial core, mapped with 80% less of the client's time ~80% Financial services More case studies
Rewiring BoardRoom's link to the Australian Securities Exchange, in under seven weeks 47 days Capital markets 
2.3x the qualified leads for one of Singapore's largest private institutions 2.3x Higher education Turning Z47's edge into a system its whole team can use 5 weeks Venture Capital Accelerating a $2.6B US fintech's support queue by 76% 76% Fintech A $2.6B US fintech's AI roadmap, costed and funded in six weeks 6 wks Fintech Taking BoardRoom into a new market in 10 weeks 3.5x Corporate Services SaaS Scaling sales with AI SDRs 5.8x Recruitment & staffing 
Real-time lead intelligence 30% Real estate Production-ready in 8 days 8 days B2B services The realfast view on AI transformation.
realfast labs | From the Labs
The most dangerous answer an AI search tool can give isn't "I don't know" - it's a fluent description of a company that barely exists. We built a benchmark around exactly that case, and it re-ranked every tool we tested.
realfast labs | From the Labs
Two days into a new job I had access to everything and understanding of nothing - buried not by too much information but by not knowing where to look. So I built /brief: a command that queries every tool we run on and hands back one connected picture of any client, repo, or person.
Insights | The realfast view
Teams are shipping internal tools faster than ever, and the interfaces all look subtly off. The reflex is to blame the model's taste. The real problem is constraints, and where they now need to live.
Insights | The realfast view
When AI compresses days of execution into hours, the day you lose to a vague email stops being invisible. Seven habits to close an issue in one message instead of three.
Insights | The realfast view
Old core standing in the way of new customers? It doesn't have to be that way. Once upon a time rebuilding a legacy core meant locking your best people down on a hard job with uncertain outcomes. Not anymore. Answer five questions, put AI on the grind, and that launch date becomes a solid commitment instead of forlorn hope. This is how we do it.
Insights | The realfast view
The entire production diff was about 15,000 lines, roughly thirty lines per engineer per day. AI's real contribution wasn't writing them. It was comprehension, not codegen.
Insights | The realfast view
Most production systems should use AI at the edges and deterministic code in the core. As per-token pricing turns honest, a lot of what's on AI roadmaps today won't survive the look.
Insights | The realfast view
If you take AI transformation advice at face value, the work looks done once the tools are bought, and the business still moves like it did a year ago. The Playground is the pattern that turns the tools into a business that moves differently.
Insights | The realfast view
Going AI Native means one thing: your customers get superhuman speed and superhuman quality no competitor can humanly match. A Head of AI and a Center of Excellence won't get you there: Parnas, Conway, and Jevons explain why.
Insights | The realfast view
The "SaaS is dead" debate is fixated on pricing. The real shift is deeper: AI is converting one class of software after another from a scarce asset into cheap, replicable inventory, and below that line, there is no product.
Insights | The realfast view
We tried to fix our timesheets and accidentally built a context graph. Here's what we learned about why operational discipline matters more than architecture.
Engineering | From engineering
Salesforce spent $8B on Informatica because AI agents need unified context. Here's how to build the data architecture that makes Agentforce actually work in production.
Insights | The realfast view
35% of companies are already using agentic AI, with another 44% planning deployment soon. But few have restructured how they deliver projects. That gap is where implementation timelines extend and where fixed-price engagements turn into scope management problems.
realfast labs | From the Labs
We built two Agentforce agents for TASC Outsourcing that handled 5,100+ sales interactions and improved their email response rates from 0.33% to 1.93%.
realfast labs | From the Labs
Developer onboarding costs $21,600 annually per 20-person team. See how ExoPair compresses 3-5 days of onboarding into day-one production deployments.
realfast labs | From the Labs
Developers hate updating tickets. Managers hate chasing updates. We use Exo, our internal AI agent, to make the whole problem disappear.
Insights | The realfast view
ExoHelp turns 3-5 day Salesforce requirements into 30-minute sprints. See how AI analysis eliminates clarification cycles and delivers developer-ready tickets instantly.
Stories | Field notes
The best engineers used to be consultants who built foundational software. Then consulting became uncool. Now Forward Deployed Engineers are making it desirable again by solving real business problems instead of hiding behind JIRA tickets.
realfast labs | From the Labs
See how Salesforce work lands in days, not months.
Stories | Field notes
Two leaders who scaled Gojek to 7M daily orders share why most enterprise AI fails and what actually works beyond demos. Lessons from building realfast.
Engineering | From engineering
Salesforce Agentforce flex credits changes everything. From $2 per conversation to 10¢ per action - pay only for real work done. Game changer.
Engineering | From engineering
The AI Effort Paradox: Why trying harder costs more
Engineering | From engineering
Discover why single prompt testing fails in production. Learn how batch testing revealed a 3x performance gap between AI models and the simple technique that boosted Agentforce speed without sacrificing quality.
Stories | Field notes
AI is transforming IT services' economic model by decoupling revenue from headcount
realfast labs | From the Labs
We were drowning in intro calls. So, we brought in an AI interviewer to do the talking for us, literally. Here’s how it’s helping us scale faster, stay human, and still make great hires without burning out.
Engineering | From engineering
On setting up reporting for Agentforce and why reporting is the heart of AI reliability
Engineering | From engineering
Best practices and tricks of the trade that ensure your Agentforce agents operate accurately and consistently, even under complex conditions.
Insights | The realfast view
New research reveals that simple AI agents fail at enterprise tasks over a third of the time. And the solution isn't just better models.
Engineering | From engineering
Let's look at how Agentforce can do the heavy lifting so time-starved recruiters can focus on building relationships and making successful placements.
realfast labs | From the Labs
We ran into some unexpected quirks while testing Salesforce agents. Here's what you need to know before starting.
Insights | The realfast view
Dashboards are the wrong interface for asking a question.
realfast labs | From the Labs
While the base pricing for Agentforce seems straightforward, the real cost structure involves understanding conversations, Einstein requests, and data credits – each with its own nuances and optimization opportunities.
realfast labs | From the Labs
Salesforce is a powerful tool, but traditional implementations often lead to data chaos within months. An AI-first Salesforce implementation changes that.
realfast labs | From the Labs
Agents that can do work asynchronously will be crucial to make GenAI scalable and viable for enterprise workloads.
Stories | Field notes
How Vayu, our agentic platform for Salesforce teams, cut the daily operational load, change-request turnaround, and testing cycles in 2024.
Insights | The realfast view
A problem evaluation framework we've developed over the past year for both GenAI founders and investors.
realfast labs | From the Labs
Speed sells AI tooling, not cost savings.
Insights | The realfast view
You want your agents to be just smart enough to do the task consistently and reliably, and not any smarter than that.
realfast labs | From the Labs
It actually helps to be less ambitious when starting out with AI transformation and take small, meaningful steps toward increasing velocity and throughput.
Insights | The realfast view
Foundational AI and Applied AI operate on entirely different planes. So, the approach you take to build an applied AI company will also be very different.
realfast labs | From the Labs
We're talking 12-16x faster test creation, with 95%+ code coverage.
realfast labs | From the Labs
For typical enterprise workloads, LLMs are raw material. You will need software engineering to turn them into a scalable resource.
Insights | The realfast view
Evaluating an AI tool's performance in real-world workflows is inherently more complex than benchmarking the models themselves on established datasets.
Insights | The realfast view
Wrapping an API in an interface is not the hard part.
Stories | Field notes
IT services is being rebuilt around agents.
