of enterprise applications are connected to each other.
Salesforce, Connectivity Benchmark 2026 · 1,050 IT leadersEvery company has an operating system. How well does yours run?
It is not your software stack. It is how a lead becomes a customer, how work becomes cash and how a decision reaches the person who must act. Rochefort finds the constraints, repairs the costly parts and gives AI agents a safe place to do useful work.
lost per person each week to coordination problems, even when AI is accelerating the work.
Atlassian, State of Teams 2026 · 12,035 knowledge workersof executives can identify clear examples of organisation-wide AI return on investment.
Atlassian, State of Teams 2026 · 173 executivesIs the business running, or are people carrying it?
A company can look busy while its operating system works against it. If a simple question sends people searching through messages and spreadsheets, that is not a minor inconvenience. It is a constraint.
Can you see the true status of a customer or job without asking three people?
If the answer lives across inboxes, spreadsheets and memory, the company cannot act on it quickly or reliably.
VisibilityDoes context survive the move from sales to delivery and finance?
When each team reconstructs the story, customers repeat themselves and paid work becomes internal explanation.
ContextCould the business absorb more demand without adding the same amount of admin?
If volume creates matching coordination work, growth raises cost and fragility instead of capacity.
ScaleCan managers see margin slipping while there is still time to act?
A correct report delivered late explains what happened. It does not protect the result.
TimingWhich valuable signals still wait for somebody to notice?
A promising enquiry, idle capacity or renewal risk loses value while it sits without an owner or next action.
OpportunityWhat useful work could an agent do today if its authority were clear?
Most AI pilots stop at producing text because nobody has defined what the agent may see, do or approve.
Agent readinessEvery answer that begins with “we would need to ask around” points to something worth measuring.
Slow operations miss the moment.
Lost time is visible. Lost opportunity is easier to overlook. The signal may already exist, but without shared context and a clear next action, its value fades while the business waits.
A lead cools before anyone replies
The signal existed. The business reached it too late.
Spare capacity stays invisible
Work is turned away while usable time sits elsewhere in the operation.
Margin slips until the month closes
The numbers arrive after the choices that shaped them.
A service issue becomes a renewal problem
The warning was present, but no workflow turned it into action.
Before you automate the work, find the constraint.
We follow one real process across the company and show where time, context, money and opportunity disappear. Then we decide what should stop, change, connect or be handled by an agent.
Book a diagnostic callFollow the real work
We trace a live job, order or decision through the people, inboxes, spreadsheets and systems that touch it. No idealised process map.
Put numbers on the drag
We count time, rework, delay, errors, unused capacity and missed revenue. Every estimate shows its assumptions.
Choose the first change worth funding
You learn what to fix now, where software or an agent would help and what should be left alone.
A decision document. Not another transformation deck.
The report shows the faults, their cost and the first intervention worth funding. Business and technical leaders see the same facts.
You own the diagnosis. It remains useful if the right answer is a process change and no software at all.
- The process as it runs today, with owners and handovers
- Evidence from real work rather than workshop theory
- Cost and opportunity estimates with assumptions shown
- Agent readiness, permissions and approval points
- The first actions, dependencies and delivery risks
Make the business easier to run. Ready to do more.
Keep the tools that earn their place. Connect the facts that people need. Build only the missing part. The aim is a business that knows what is happening and can act while it still matters.
Stop paying people to move data
If somebody copies information from one system into another, the business has made that person an integration. We remove that job without removing accountability.
Build what your business actually needs
We use off-the-shelf software where it fits. Where it distorts the operation, we connect it or build the missing application.
Give agents a proper job description
We state which information an agent may use, which actions it may take and the exact point at which it must ask a person.
Let routine work move without waiting
Agents can watch approved queues, gather facts and complete reversible steps. People keep control of judgement, money and reputation.
Agents that know when to act, and when to stop.
Give each agent a defined job, the information it may use and the actions it may take. Routine work moves without constant supervision. Judgement, money and reputation remain under human control.
- 1Observe
- 2Prepare
- 3Act within limits
- 4Escalate exceptions
- 5Verify the result
Scope the job
Name the result, accountable owner, permitted systems and data.
Set the limits
Cap access, spend, volume and customer impact. Sensitive actions need approval.
Handle the exception
When facts are missing or a rule conflicts, the agent stops and sends the evidence to a named person.
Prove what happened
Record the source, decision, action, approval and result. Keep a pause and recovery path.
From enquiry to qualified opportunity
An example of routine work moving quickly while commercial judgement stays accountable.
Watch approved enquiry channels, assemble the account context, apply qualification rules and prepare the next response.
Pricing, discounts, promises, contracts and any unusual claim made to a customer.
Identity is unclear, data conflicts, consent is uncertain or the opportunity falls outside the agreed rules.
A company that can grow without constant intervention or dependence on individual heroics.
Less chasing and rekeying. Exceptions arrive with the facts and a clear owner.
Each investment starts with a baseline and ends with a result that can be tested.
Defined boundaries, known data ownership and no black box left behind.
Buying AI is easy. Making it pay is not.
Any company can buy access to the same models. The gap opens when one business has live context, connected work and clear authority while another still depends on people carrying information between tools.
If a competitor could quote faster, see margin risk earlier and absorb more work without the same admin, how long would your current process remain good enough?
Improve one critical workflow. Prove the result. Then expand.
A large transformation is not the first purchase. Start where the cost or missed opportunity is visible. Put the change into everyday work and make it earn the next investment.
Choose the constraint
Start with one part of the operation that carries a real cost or missed opportunity.
Record the baseline
Agree the present result, the owner and the control limits before changing anything.
Put the change into use
Deliver the complete workflow, support the people using it and monitor the exceptions.
Prove it before expanding
Add the next change only when the first improvement holds in everyday work.
Bring us the part of the business you no longer trust.
The spreadsheet everybody argues over. The handover that depends on one person. The lead queue nobody owns. The AI pilot nobody will let near a customer. We will find out what is really at stake and whether a diagnostic is worth doing.
Bring one problem. We will not make you sit through a deck.