Build the agent.
Fix the foundation.
Bring Agentforce, data engineering and integration into one technical conversation instead of treating the data layer as someone else's problem.
Value: fewer fragmented engineering handoffs.FORWARD-DEPLOYED AI ENGINEERING
AI that works. Beyond the pilot.
Data blockers. Disconnected systems. Not enough delivery depth. HighCloud works alongside your team to connect the data, build the agents and move AI initiatives toward production.
Architecture + hands-on implementationPeople stay in control
A conceptual study in human + AI collaboration
AGENTS + DATA + DELIVERYOne connected problem.
Hands-on engineering.
Salesforce & AgentforceData 360 & DatabricksCustom AI & integrationEmbedded engineering
WHY HIGHCLOUD
The hard parts connect.
Our engineering does too.
Forward-deployed engineers work alongside your team to understand the real problem and help implement a solution. Three principles shape how we do the work.
Build the agent.
Work through it.
Alongside your team.
Connect architecture decisions to hands-on delivery. Scope the blocker, implement the next step and evaluate the result against real work.
Value: a practical path, not just a recommendation.Make quality visible.
Keep people in control.
Define evaluation, exceptions and acceptance together. Carry clear responsibility through the build and into operational handover.
Value: clearer decisions and accountable operation.WHEN YOU NEED FDE HELP
Find the blocker.
Build the way forward.
You do not need another AI vision deck. You need engineering that connects the idea to your actual systems. Explore the problem, our approach and the value to evaluate.
ENGINEERING CAPACITY
A deployment to deliver. Not enough engineering depth.
THE DELIVERY PROBLEM
You have a customer engagement to move forward, but your team needs more hands-on capacity across the agent, data and integration work.
HOW HIGHCLOUD HELPS
HighCloud embeds engineering alongside your delivery team, with an agreed scope, technical responsibilities and review checkpoints.
Accountability stays clear. Your delivery leads retain customer context and acceptance decisions. We align with the engagement instead of adding another disconnected workstream.
ILLUSTRATIVE DELIVERY PATH
01
STARTING POINTCommitted delivery work
02
ENGINEERING HELPEmbedded engineering
03
HUMAN OWNERSHIPYour delivery team
More delivery depth. Clearer ownership.
What to evaluate: Milestones completed, engineering handoffs and acceptance of the agreed work.
DATA & INTEGRATION
The agent is ready for a demo. The data is not ready for the job.
THE DELIVERY PROBLEM
CRM records, knowledge and operational data are disconnected, inconsistent or difficult to access with the right permissions.
HOW HIGHCLOUD HELPS
We work through data quality, retrieval and integration. Agentforce, Data 360 and Databricks can form a connected foundation where the architecture calls for them.
Accountability stays clear. Data owners define the permitted sources and access. Representative tests check whether the context is fit for the use case.
ILLUSTRATIVE DELIVERY PATH
01
STARTING POINTDisconnected sources
02
ENGINEERING HELPData + integration work
03
HUMAN OWNERSHIPData-owner review
Useful context. A stronger foundation.
What to evaluate: Source coverage, retrieval relevance, access boundaries and integration quality.
PILOT-TO-PRODUCTION
The prototype works. The production path is still unclear.
THE DELIVERY PROBLEM
An AI pilot has shown potential, but implementation gaps, fragile integrations or unclear evaluation keep it from becoming a usable system.
HOW HIGHCLOUD HELPS
We diagnose the blockers, agree a recovery scope and build against representative work, with evaluation, exceptions and human handoffs in view.
Accountability stays clear. Your team helps define what good looks like and reviews the evidence before expanding the solution's use.
ILLUSTRATIVE DELIVERY PATH
01
STARTING POINTPilot + real constraints
02
ENGINEERING HELPScoped recovery & build
03
HUMAN OWNERSHIPAcceptance checkpoints
A practical route beyond the pilot.
What to evaluate: Blockers resolved, evaluation results and readiness against agreed acceptance criteria.
OPERATIONAL READINESS
Going live needs more than a working feature.
THE DELIVERY PROBLEM
A solution may be technically promising while ownership, exception handling and the next change remain unclear.
HOW HIGHCLOUD HELPS
We support evaluation, launch preparation and ongoing improvement, making the handover and operational responsibilities explicit.
Accountability stays clear. People own customer-impacting decisions. We agree who reviews exceptions, approves changes and operates the solution.
ILLUSTRATIVE DELIVERY PATH
01
STARTING POINTWorking solution
02
ENGINEERING HELPReadiness + ongoing care
03
HUMAN OWNERSHIPNamed operational owners
A system your team can own.
What to evaluate: Handover completeness, exception handling, adoption and quality over time.
Illustrative delivery situations, not client results or guaranteed outcomes. Architecture, timing and feasibility depend on the agreed scope and your systems.
ENGINEER THE FOUNDATION, NOT JUST THE AGENT
Agentforce+ connected data
Data 360DatabricksBusiness systems
Context, access and evaluation.
The architecture depends on the job.
OUR TECHNICAL FOCUS
The agent is only
part of the solution.
We bring Salesforce and Agentforce implementation together with data engineering and integration. Data 360 and Databricks capabilities help address the foundation behind the experience, where the use case calls for them.
- Use-case and architecture decisions before a build
- Connected, access-aware data and useful context
- Agents evaluated against representative work
HELP THAT FITS THE ENGAGEMENT
From a second opinion.
To hands-on delivery.
The right starting point depends on what is blocking you.
Architecture and advisory, embedded engineering, scoped implementation, stalled-project recovery and ongoing support. We agree on the work and how its value will be evaluated.
See how we can work togetherOUR DELIVERY APPROACH / HIGHCLOUD EMBED
Alongside your team.
Through the hard parts.
A clear working method from scope to ongoing improvement. Not a fixed deployment deadline or a black-box implementation.
Scope
Start with the right problem.Understand the use case, constraints and evaluation criteria.
Match
Align the engineering.Agree the capabilities, responsibilities and work that your situation needs.
Ramp
Connect to the real environment.Establish access, integration context and the working relationship.
Ship
Build and evaluate.Develop the scoped solution with representative tests and acceptance checkpoints.
Govern
Make ownership explicit.Clarify oversight, exceptions, change control and operational handover.
Extend
Improve with evidence.Support the solution and use feedback to refine what works.
BUILT BY HIGHCLOUD / ENGINEERING IN PRACTICE
Evidence-backed AI.
Built by HighCloud.
FMEAi is HighCloud's risk intelligence platform for high-consequence industries.
It compares existing risk files with public evidence, links findings to their sources and keeps qualified people in control of official record changes.
EVIDENCEFindings with citations
ACCOUNTABILITYReview + independent approval
FMEAi's founder brings 20+ years in risk management and functional safety to the product. This demonstrates product design, not an Agentforce deployment or customer ROI result.
Explore the FMEAi case studyfmeaiEVIDENCE → CONFIDENCE
↗
START WITH YOUR EXISTING FILEFMEA & hazard analysis
INPUTEvidence-backed AI draft
Every finding links to its source.
MAUDERecalls510(k)Enforcement
People make the decision.Engineer review · Separate risk approval
Illustrative medical-device workflow · not a product screenshot
YOUR NEXT PROJECT
A real problem.
A practical next step.
Tell us what is blocking progress.
Let's find a practical engineering next step.