Becoming an

Agentic Enterprise

Modernize what you’ve already built,

so your business moves faster and your people go further

Becoming an

Agentic Enterprise

Modernize what you’ve already built,

so your business moves faster and your people go further

OUR MANIFESTO

We believe the way forward is modernizing what you have already built. The value sits in what your organization has spent years getting good at, and agentic AI is how that value compounds: agents running on the estate you own, and handing back to your people when judgment matters.

Picture your business as a country you have spent years building. Every so often, a revolution redraws the map. The engine was one: before it, everything moved at the speed a person could carry it. Agentic AI is this one. Your company hubs keep doing what they are good at. What changes is what can move between them, and how fast.

WHAT IS AGENTIC AI

Powerful helpers, working as

one connected system

You type a question into ChatGPT or Claude, and it answers. That’s the model doing its job: an engine, running only when you turn the key. An agent is what gets built around that engine, like a car wrapped around it, so it can carry work somewhere without you steering every turn.

Agents work inside the processes that run your business: deciding, doing the task, and handing off to a person when judgment matters. One agent helps. A set of them working together changes how the business runs.

Making those connections hold together is real engineering, and it is what we do best. More than twenty years delivering service and field operations on Salesforce, now focused on making agents collaborate inside it.

Chain of helpers in origami, representing AI agents and human collaboration

WE’VE DONE IT ON OURSELVES FIRST

Diabsolut was

Customer Zero

Before we put the agentic playbook in front of a client, we ran it on Diabsolut. Our own delivery, operations, sales and marketing activities were the first place these agents went live, with the same data work, the same guardrails, and the same outcome tracking we bring to you. We hit the same messy data, the same change resistance, and the same governance questions you will.

50% less effort on recurring tasks

WHAT BEING CUSTOMER ZERO TAUGHT US

Six principles

we now build everything on

01

Business outcomes focus

CARS, THEN TRUCKS

Success is a business result, and it only starts at go-live. It is the destination you point every agent at, and the first use cases decide whether you hit it. The key: start small.

What we do: We advise on which use cases to run first, then track every agent against the outcome.

02

Process review

OLD VS. NEW ROADS

Before anything gets built, your processes get examined: their decisions, exceptions, and handoffs, and where agents fit. Map the roads before you pave them.

What we do: We review your processes and map them into agentic workflows on Salesforce and Agentforce, with the handoff points designed in.

03

Data foundation

FUEL QUALITY

Data is the fuel agents run on, and it rarely starts clean. You need enough of it usable to get moving, and your first agents can help refine the rest.

What we do: We connect scattered knowledge and clean data across your systems, starting with what your first agents need, so every agent and user works from the same facts.

04

Composable build

CARS YOU CAN SERVICE

You’re building for change. Priorities, tools, and needs keep moving, and the system has to keep up.

What we do: We build the most connected system we can, then keep it easy to open the hood and swap a part as things change.

05

Governance

RULES OVER SPEED

Before agents scale, you need full visibility and control over what they do.

What we do: We put lane lines and guardrails on every agent: scoped permissions, audit trails, and hard limits, so each action stays logged and reversible.

06

Human in the loop

HANDS ON THE WHEEL

People move from doing the work to supervising it. They keep the wheel, and have to trust the agents to drive.

What we do: We build in the human gates and run the accountability, adoption, and change management.

We build your agentic system on the most reliable platform out there

and integrate it with solutions you already use for a seamless user experience.

logos of Agentic companies

HOW WE DO AGENTIC

Growth and maturity icon

Maturity scoring always comes first. Where you stand domain by domain is what tells you where to invest first.

We break your operation into domains and score each one on five levels. Nobody sits cleanly at one number: you’ll find level 2 in one area and level 4 in another. That spread is the most useful thing the assessment surfaces, because it sets the order of the work.

Continuous improvement icon

In this new agentic era, success isn't a launch date anymore. It's the value your agents keep delivering long after go-live.

Our estimate: about 40% of the work happens before go-live and 60% after, through agent iteration, human enablement, business process improvements, and more. We’re with our customers for the whole transformation, end to end.

Proof from the field

Two recent go-lives show what agentic work looks like once it is running in production.

Agentic enterprise inside
agentic enterprise inside 2

REAL LEARNINGS FROM EXPERIENCE

What we'd tell you over coffee

Lessons learned from collaborating with our customers on their agentic evolution.

01

Start with a process that hurts inside your own operation

The flashy use case that demos well rarely survives contact with real users and data. Pick the process people complain about, prove value where people can feel it, and the results do the internal selling.

02

Data debt shows up before bad prompts do

When an agent misbehaves, look at what it’s reading before you look at how it’s built. That’s usually a fix you make in a week. Clean as you go once the agent is live, and you have results to show long before the data project wraps.

03

Where the agent stops matters as much as what it does

Design the handoff points at the same time as the automation. What stays human is as much a part of the workflow as what the agent runs.

04

Don’t wait for an incident: govern from day one

Retrofitting audit trails and permissions onto agents already in production is painful and expensive. Build the guardrails while the agent is small.

05

The second agent is easier than the first

Once the data foundation, the workflows, and the governance are in place for one agent, the next one reuses most of it. The program speeds up as it grows.

01

Start with a process that hurts inside your own operation

The flashy use case that demos well rarely survives contact with real users and data. Pick the process people complain about, prove value where people can feel it, and the results do the internal selling.

02

Data debt shows up before bad prompts do

When an agent misbehaves, look at what it’s reading before you look at how it’s built. That’s usually a fix you make in a week. Clean as you go once the agent is live, and you have results to show long before the data project wraps.

03

Where the agent stops matters as much as what it does

Design the handoff points at the same time as the automation. What stays human is as much a part of the workflow as what the agent runs.

04

Don’t wait for an incident: govern from day one

Retrofitting audit trails and permissions onto agents already in production is painful and expensive. Build the guardrails while the agent is small.

05

The second agent is easier than the first

Once the data foundation, the workflows, and the governance are in place for one agent, the next one reuses most of it. The program speeds up as it grows.

Ready to move from AI ambition to agents in production?

Bring us your busiest process. We’ll tell you what agents could do with it.

FAQ

Questions we hear a lot

No. A chatbot answers questions. An agent takes action inside your systems: updating a record, dispatching a technician, resolving a case, then escalating to a person when it should. The value is in what it does, not what it says.

Not perfect, but controlled. Part of getting there is grounding the data behind the specific process you’re automating. We scope that work up front so there are no surprises once agents go live, and we use live agent data to fuel the ongoing clean-up.

It depends on the process and the state of your data. The exploration call gives you a scoped view of your first agent and a realistic timeline. We’d rather give you a real one than a comfortable one.

That’s exactly what the governance layer is for. Every agent runs inside scoped permissions with full audit trails and hard limits, using our AgentGuard approach. You can see every action, understand why it happened, and stop an agent instantly.

We build on Salesforce and Agentforce, with integration through MuleSoft and services delivery on Certinia where it fits. As a Salesforce Summit Partner with 20+ years of delivery, that’s the ground we know best.

Start with the exploration call. If the data or the process isn’t ready, we’ll say so and tell you what to fix first. No pressure to buy a step you don’t need.