New order, copied by hand
The same fields typed into three systems again.
AI Engineering for Revenue Teams
Build Capacity to Grow. Own Your Intelligence.
We help revenue teams define their AI strategy and build proprietary AI systems around their data, workflows and knowledge, without locking critical intelligence into a vendor.
Official partner of
The Problem
Your Team Is Carrying Work an AI System Should Handle
Revenue teams still spend too much time moving data between systems, chasing handoffs and manually directing AI.
Today
More people to keep growth moving
Each tool helps with one task. The team holds the process together.
The new way
AI agents to expand team capacity
Shared business context. People step in where judgment is needed.
Business workflows running
AI Systems operating within guardrails
- ↳Order intake validated3h saved
- ↳Lead researched and scored2h saved
- ↳Context written to the record1h saved
- ↳Quote assembled and checked4h saved
- ↳Draft prepared for review3h saved
- ↳Exception flagged for a person1h saved
- ↳Numbers consolidated5h saved
- ↳CRM updated2h saved
- ↳Stock checked against the order1h saved
- ↳Handoff cleared2h saved
- ↳Order intake validated3h saved
- ↳Lead researched and scored2h saved
- ↳Context written to the record1h saved
- ↳Quote assembled and checked4h saved
- ↳Draft prepared for review3h saved
- ↳Exception flagged for a person1h saved
- ↳Numbers consolidated5h saved
- ↳CRM updated2h saved
- ↳Stock checked against the order1h saved
- ↳Handoff cleared2h saved
Same team. More capacity.
Your bottlenecks tell us what to build first.
Solutions
What AI Systems Change Across Your Revenue Teams
The repeatable work moves to AI systems. The judgment stays with your team. Different work in every department, same shift.
Content and ad creatives move at the speed of the market
Today: content and ad creatives can't keep pace.
What improves
- time from signal to published asset
- assets and creatives shipped per cycle
Every campaign teaches the next one
Today: test results live in a deck nobody reopens.
We build the system that captures what worked, learns from every campaign, and informs what comes next.
…and 50+ other ways to remove bottlenecks like these.
Personalization that knows more than a first name
Today: everyone gets the same message.
What the system handles
- Segment and personalize from behavior and account context · revenue per segment
- Assemble account-specific pages and outreach from the record · engaged accounts per campaign
Buyer signals become briefs, not backlog
Today: they sit unread across reviews, tickets and calls.
What improvestime from signal to published assetcost per qualified response
What's your biggest Marketing bottleneck?
Bring the workflow costing you the most. We'll map the bottleneck and show you what the AI system could look like.
Book a working sessionFree. 30 minutes. Clear system concept.
Every good lead gets worked the day it lands
Today: they wait on research, routing, and qualification.
What improves
- time to first qualified touch
- leads worked per rep
What wins deals changes how you sell
Today: every rep learns the same objections separately.
We build the system that captures what actually moved deals and puts it into the next conversation.
…and 50+ other ways to remove bottlenecks like these.
Outreach and proposals that know the account
Today: they stay generic because personalizing takes too long.
What the system handles
- Research accounts and carry the context into the CRM before the first call · reply rate per sequence
- Draft proposals and quotes from the account record and approved terms · time from request to quote
What's said on calls reaches the forecast
Today: it stays buried in someone's notes.
What improvesforecast accuracytime from call to updated record
What's your biggest Sales bottleneck?
Bring the workflow costing you the most. We'll map the bottleneck and show you what the AI system could look like.
Book a working sessionFree. 30 minutes. Clear system concept.
Reporting stops costing you a week of cleanup
Today: every report starts with fixing the data.
What improves
- hours to a trusted number
- records corrected per week
The rules hold instead of drifting
Today: someone fixes routing, hygiene or a report and it drifts again.
We build the system that holds the rules continuously instead of in a cleanup sprint.
…and 50+ other ways to remove bottlenecks like these.
Context survives the handoff
Today: it gets lost between marketing, sales, onboarding and renewal.
What the system handles
- Carry account context across every stage of the lifecycle · time to full context at handoff
- Flag accounts where ownership or the next step is unclear · deals stalled at handoff
A pipeline number the room believes
Today: every source gives a different answer.
What improvesforecast accuracytime to a trusted number
What's your biggest RevOps bottleneck?
Bring the workflow costing you the most. We'll map the bottleneck and show you what the AI system could look like.
Book a working sessionFree. 30 minutes. Clear system concept.
More accounts get attention before renewal
Today: account prep and follow-ups eat the time meant for customers.
What improves
- accounts with an active success plan
- time spent on account prep
Retention and growth plan per account
Today: Plans lag as usage, support and stakeholder needs shift.
We build the system that turns usage, support and account history into the next retention or expansion move.
…and 50+ other ways to remove bottlenecks like these.
Expansion starts with a reason to buy more
Today: upsell outreach follows a calendar, not customer needs.
What the system handles
- Spot new teams, growing usage and unmet needs · qualified expansion pipeline
- Draft expansion plays grounded in value already delivered · expansion conversion rate
Churn signals surface while there's time to act
Today: you learn an account is at risk when the renewal stalls.
What improvestime from risk signal to actionrenewal rate
What's your biggest Customer Success bottleneck?
Bring the workflow costing you the most. We'll map the bottleneck and show you what the AI system could look like.
Book a working sessionFree. 30 minutes. Clear system concept.
Make your business understandable to buyer agents
Today: buyer agents can't interpret your offer from scattered sales materials.
What improves
- buyer questions answered accurately
- time to verify supplier fit
Help personal agents buy from you
Today: a customer's agent finds you but stalls on answers, availability, or purchasing.
We make your information and buying workflows usable by personal agents, with your team handling exceptions.
…and 50+ other ways to remove bottlenecks like these.
Move agent enquiries through proposals and approvals
Today: qualified enquiries stall between proposal drafts and sign-off.
What the system handles
- Draft scoped proposals from qualified agent enquiries · time from enquiry to proposal
- Route terms and buyer context for approval · time to commercial approval
Find out why buyer agents shortlist or skip you
Today: you can't see where buyer agents rule you out.
What improvesshortlist rate in buyer testsselection gaps identified
What's your biggest Agentic Commerce bottleneck?
Bring the workflow costing you the most. We'll map the bottleneck and show you what the AI system could look like.
Book a working sessionFree. 30 minutes. Clear system concept.
Case studies
In Production, Not in a Demo
AI systems built around real revenue constraints.
84%
of prescriptions approved by AI
Featured AI workflow
Prescription processing → approval
AI processing that moves orders toward approval
AI reads prescriptions, checks required information and prepares records for review, helping customer orders move forward while medical approval stays with a qualified person.
- Before:
- Manual prescription checks held up customer orders
- System:
- AI reads, checks and prepares prescription records for approval
- Safeguard:
- Uncertain information escalates; medical approval stays human
“We have worked with Revensi for many years. In that time they have made vast improvements to how our business runs, and they are great people to work with. We highly recommend them.”
Delivered for 120+ companies
Our Approach
Find the Bottleneck. Build the System. Go Live in Four Weeks.
We start with the growth constraint and learn how the work really happens, including the exceptions and judgment calls. Then we build the system around them.
01
Week 1
Map your key bottlenecks
Capture every handoff, exception and judgment call in the workflow we're changing.
02
Week 2
Design the AI systems
Design the context, guardrails and workflows behind the system.
03
Week 3
Embed into operations
Connect the system to your existing tools and test it against real scenarios.
04
Week 4
Launch into production
Go live and measure the impact.
Book a working session
Free. 30 minutes. Clear system concept.
Engagements
Two Weeks to a Roadmap. Four Weeks to Production.
Don’t start by building AI. Start by knowing what’s worth building. Prove it in production. Then scale what works.
- Recommended starting point
2 weeks
AI Strategy Roadmap
Know what will work before you build it
We define where AI creates the most value, how it fits your business and what belongs in production.
Starting at$7,500
Credited in full to your implementation.
What's included
- AI vision, priorities and operating model
- A map of key workflows, systems and handoffs
- Prioritized AI opportunities and recommended sequence
- Data, access and architecture requirements
- Commercial case, implementation risks and measures of success
What you get
An implementation-ready AI strategy: where to invest first, how the pieces fit and what not to build.
4 weeks
AI Implementation Sprint
Build and launch in four weeks
We turn the biggest bottlenecks into AI systems built around the tools your team already uses.
What's included
- Workflow redesign and operating requirements
- Custom AI systems, integrations and permissions
- Evaluation against agreed examples and criteria
- Human approval and escalation boundaries
- Rollout, documentation and adoption tracking
What you get
Working AI systems handling real work, with the necessary controls and measured impact.
Ongoing
Embedded AI Engineering
Expand AI across your business
We expand successful deployments across teams and keep them reliable as adoption grows.
What's included
- Sequenced roadmap across connected workflows
- Shared context, data and integration layer
- Reusable evaluation and control standards
- Monitoring, optimization and adjustments
- Continuous bottleneck assessment
What you get
AI embedded in day-to-day operations, with the foundations to expand across your business.
Built to Fit, Hold Up and Stay Yours
Technology
Four Layers Behind Every AI System We Build
We combine operating knowledge, market context, security and continuous evaluation to make AI systems perform reliably in the real world.
01Operating knowledge
InnerFabric: Encode how your business actually works
Map the steps, systems, handoffs, exceptions and judgment calls behind the work so agents and internal tools can act with the knowledge your best operators use.
02Market context
BuyerSense AI: Understand the world around the workflow
Connect customer, product, market, competitor and internal knowledge, then turn raw signals into context your AI systems can use when making decisions.
03Security and guardrails
LoopTower: Secure AI systems against real-world attacks
Continuously red-team prompt injection, jailbreaks, data exfiltration and tool abuse, then re-test fixes and preserve the evidence behind every release.
04Evaluation
CorpBench: Prove performance on real work
Compare models and agent architectures on complete business workflows, measuring outcome quality, reliability, speed and cost before deciding what belongs in production.
How we compare
Choose the Right Way to Embed AI Into Your Business
When a workflow crosses systems, teams and judgment calls, AI has to be built around how your business operates.
Starting point
Scope of impact
How it is deployed
Production timeline
What you own at the end
AI SaaS Tool
The tool's capabilities(you bend the work to the product)
One capability
Another system to adopt(your team needs to learn)
Months of adoption(installed fast, absorbed slowly)
Subscription
Automation Projects
A list of disconnected tasks(whatever looks automatable)
Individual tasks
Glued on at the edges(breaks when a tool changes)
Slow to production(early demos break)
Custom scripts
Your bottlenecks(workflows constraining growth)
End-to-end system
Embedded into operation(systems, data and teams)
Four weeks(production-grade key workflows)
Proprietary production capability
Bring your bottleneck. Leave with a system concept.
Book a working sessionIn a free 30-minute working session, we'll map one painful workflow together, and you'll leave with a clear system concept.
Frequently Asked Questions
What does Revensi actually build?
We build custom AI systems, agents, internal tools, integrations and software around specific business workflows. The architecture follows the bottleneck, not a predefined product. The deliverable is a production capability embedded into your operation, not a prototype, strategy deck or isolated AI experiment.
What does forward-deployed AI engineering mean in practice?
We work directly with the people who own the workflow and build inside the reality of your business. That means understanding how work actually happens across teams, systems, data, approvals and exceptions, then designing and deploying the production system around it. We stay close to the problem from discovery through implementation rather than handing over recommendations for someone else to build.
How does Revensi work with our internal teams?
We embed alongside the people who understand and own the workflow. Depending on the project, that may include operators, functional leaders, engineering, data, IT and security. Your team provides the operational context, access and decisions; Revensi leads the system design, engineering, integration and deployment.
Can you work within our existing systems, infrastructure and security requirements?
Yes. We build around the systems and architecture already running your business. We integrate with existing software and approved data sources, work within your cloud and security requirements, retain human approval where needed and use private or locally deployed models when privacy, residency or control demands it.
Where do we start?
Start with the Sprint when the bottleneck and target workflow are already clear and the goal is working software in production. Start with the two-week AI Strategy Roadmap when you need to define where AI can create the most value, align priorities and sequence opportunities, or establish the data, architecture and commercial case before building.
How can something be live in four weeks?
Because we launch a focused production system, not attempt to replace an entire platform. We map the workflow and its constraints, design the system and approval boundaries, connect it to your existing tools, test it against real scenarios and launch a focused capability into production.
How do you prove the system works?
We define the baseline, acceptance criteria and business measure before development begins. Evaluation covers the complete workflow, including reliability, human review, cost and latency. After launch, we measure adoption, operational performance and the selected business result separately.
What do we own?
You own the system built for your business: its code, configuration, data, integrations and deployment. You also receive the documentation and handoff required to operate it. Revensi retains only its existing reusable libraries and engineering tools, with any components used in your system licensed for continued operation.
Have more questions? Talk to us.
Build Capacity To Grow. Own Your Intelligence.
Bring the workflow slowing your pipeline, deals or renewals. We'll map the bottleneck and show you what the AI system could look like.