Governed multi-agent enterprise AI
Turn scattered AI agents and siloed people into a governed workforce.
AI agents are arriving in your organisation everywhere: built internally by individuals, bought off-the-shelf and already switched on in enterprise platforms. Disconnected. Expensive. Risky.
AnehtA® designs, governs and leads people, AI agents and systems as one workforce. Bespoke. Orchestrated. Cross-silo.
AnehtA takes your organisation from separate agents, to orchestrated processes, to one governed workforce.
- Separate agents
- Orchestrated processes
- One governed workforce
Three choices
Disconnected agents are tools. Coordinated agents, working with your people, are a workforce.
Do you want isolated agents or people and AI agents working together?
One workforce, every agent in its place.
Do you want independent agents or orchestrated agents?
One agreed design, value enterprise-wide.
Do you want autonomous agents or hybrid agents?
Sign-offs where accountability requires them.
Fresh approach
Rethink how you design enterprise AI agents. Four familiar methods; do not start with any of them.
Each sounds sensible. Open each to see why it fails.
Method 1Map the current process and fix its problemsWhy it fails
How it works
Map current-state processes and draw them as workflow or swimlane diagrams. Use them to find problems, challenges and bottlenecks, and opportunities to apply AI to remove them. Design agents around the solutions, then deploy.
Why it fails
It starts from how work is done today, not from what the organisation needs to achieve to thrive in future. Agents end up patching historic workflows that few people understand, papering over poor behaviours and attempting to solve deeper cultural issues that technology cannot fix. AI agents are set up to fail.
Do not start here to design either a single agent or multiple agents.
Method 2Ask the people doing the job what the issues areWhy it fails
How it works
Ask the people who do the work what gets in their way, what their pain points are, how tasks and workflows can be improved, then build AI to solve those problems.
Why it fails
You collect local frustrations, one team at a time. Agents fix symptoms where they are felt rather than underlying causes at the root, and nobody asks what the organisation as a whole needs or what customers value.
Do not start here if you want to fix the causes of problems rather than their symptoms.
Method 3: the most insidious of allAsk people for their requirementsWhy it fails
How it works
Ask people what their requirements are of any future AI system. Technical teams capture the requirements and build to them, using agile and related methods.
Why it fails
Few people in organisations truly understand the question "What are your requirements?" Yet many feel compelled to answer it, with requirements they make up to avoid looking silly. The system is built, and people complain that it does not do what they want. That is not the fault of the system or of the people. It is the fault of the question itself.
Do not ask this question of people in your organisation.
Method 4Apply AI to "processes" in silosWhy it fails
How it works
Each department or function applies AI to its own processes, independently of the others.
Why it fails
Work rarely stays in one silo. When it needs to be completed across silos, the agents do not talk to one another, and the work stalls or breaks at every handover.
Do not start here to design either a single agent or multiple agents.
Where to start instead
Start with what your organisation needs to achieve.
Begin with your strategy, your objectives and the Value Drivers of your business. Then design the workforce of people, AI agents and systems, coordinated by an Orchestrator, that will deliver them.
AnehtA provides you with a fresh starting point.
The AnehtA product
Every agent, decision and benefit in one place.
Four views of one run, across five departments: the cockpit, the run journey, the agent health check and the transformation radius.
Cockpit: the whole run at a glance
One run, orchestrated across 5 departments. The 10 Value Drivers not yet delivered are shown as gaps for action.
Run journey: who did what, in which department
Work passes from one department to the next under one Orchestrator. Card Operations works alongside Card Services from the start; Customer Communications joins the two streams at the end.
Agent health check: designed well, performing to target?
Every task is fully designed; all 32 still perform below target, so the change is still required. The check makes that visible.
Transformation radius: what changes, where, and why
Changes by objective
Two changes are not yet linked to an objective, and are shown as such.
Screens from AnehtA running on Salesforce Agentforce: an illustrative redraw from a demonstration engagement with a fictional company.
See what this would look like for your organisation.
Book a briefingIn practice
A national multi-site food business: from new site to opening
AnehtA was used to redesign how the business's property division takes a new site through planning, using the division's own data.
Figures from the design phase. The planning-stage figure is the target the redesign was built to deliver.
The AnehtA demo
One design. Five departments. People, AI agents and systems working as one.
A credit card provider responds to a customer's report of a lost and stolen card. Watch the Orchestrator run the work end to end, as designed, with people signing off wherever accountability requires it.
Illustrative demonstration with a fictional company and fictional data, shortened for this page and based on a working AnehtA run. Regulation references are illustrative and are not legal advice.
AnehtA benefits
Enterprise AI that pays its way, with your people in control.
AI where it adds value
The right actor for each piece of work.
Your data is held in your own dedicated environment
Protected by enterprise security and AI trust controls.
Changes to roles are seen in advance
Plan change with your people.
Platform-agnostic by design
First built on Salesforce Agentforce.
Nine agentic risks. AnehtA resolves each one.
Each card shows what AnehtA gives you. One at a time, each card turns to show the risk it resolves, then turns back. Click any card to turn it yourself.
01 · Agentic provenance
You would not buy a diamond without knowing where it was formed and every step of its journey. Why let an AI agent into your business without knowing the same?
AI agents are arriving from everywhere: built by individuals, bought off the shelf, switched on inside the platforms you already use. Ask of any one of them:
- Where was it formed?
- Who created the agent's code?
- Who has changed it, when and for what reasons?
- Who answers for it when it gets something wrong?
- Does it deliver to your strategy?
In many organisations, nobody can answer. AnehtA helps you answer, for each agent, before it runs.
! Risk you face: agents with no known historyTalk to us about the risks your agents carry today.
Book a briefingHow to deploy AnehtA
Four steps, from business challenge to continuous impact
Discover
What must we achieve, and where can AI agents help?
Decide
What should people do? What should AI do?
Adapt
See the consequences of change and keep improving.
Orchestrate
Run it, govern it and keep a record of its decisions. Deployed on Salesforce Agentforce, using your Salesforce data and its security and trust controls.
Your first step: Discover
Start with what your organisation needs to achieve. Then one process, designed and trialled in 12 weeks, for a fixed fee.
Book a briefingYou receive:
- A roadmap that identifies the people and AI agents to achieve your objectives and Value Drivers
- The design of your workforce of people, AI agents and systems
- Governance for each agent
- A register of the agents in your design, ready for your board to review
- A trial run of the process
- Changes and benefits linked to your objectives
Questions leaders ask
What you will want to know
What exactly do we get?
AnehtA is a platform, technology-agnostic by design and first built on Salesforce Agentforce, together with services to put it to work: discovery, design, orchestration and ongoing adaptation, delivered with your leadership team. For each process you receive the design of your workforce of people, AI agents and systems, the governance for each agent, a register of your agents, the design trialled end-to-end and the benefits it will deliver.
How long does it take, and what does it cost?
A first process typically takes 12 weeks. The fee is fixed and agreed before we start. It reflects the size of your organisation and the scope of the process, and it does not change once agreed. Wider roll-out is priced the same way, so you know the cost of each stage before you commit to it.
Who builds the agents, and who owns the designs?
Your own staff build the agents, guided by AnehtA advisers. Your organisation owns the designs. At the end of Discovery you keep the designs and the detailed design specification for each agent, so there is no lock-in.
Will AnehtA interfere with the AI tools and agents we already use?
During Discovery, AnehtA does not interact with your existing AI agents or models. The work takes place in a separate sandbox, apart from the agents you already run. Along the way, you may find agents you did not know you had.
How much time does it need from our people?
Typically one to two days a week per person over the 12 weeks, at times the teams arrange themselves. It is a real commitment, for a substantial result. Your people design bespoke agents in detail, governed and aligned across departments, rather than one-off local agents or off-the-shelf agents that would still need adapting to your organisation. Along the way they work out each agent's provenance, context and information needs, and mitigate the other risks that can lead multi-agent systems to act in ways you did not intend. Having your own people do this work also keeps the fixed fee lower.
How do you handle role changes?
Role changes are part of the AnehtA analysis. They are identified before any AI is implemented or adopted, so you can plan consultation with your people, including HR and trade unions where relevant, in good time.
Which platform does AnehtA run on?
AnehtA is platform-agnostic by design. Its first build runs natively on Salesforce, with AI agents on Agentforce, and connects to your other systems through standard integration options.
Why Salesforce first?
Many organisations already hold their customer and operational data in Salesforce, so AnehtA can work where that data already sits rather than moving it elsewhere. Agentforce also provides governance and trust controls for AI that AnehtA builds on. AnehtA is designed so that it can be extended to other platforms.
Where is our data held?
The data AnehtA needs is held on Salesforce, in a dedicated Salesforce environment for your organisation, protected by Salesforce's enterprise security and its trust controls for AI. You decide what data is shared, and each organisation's data is kept separate.
Which AI models do you use?
AnehtA's AI agents run on Salesforce Agentforce, and you decide which of the AI models available through Agentforce to use, with Salesforce's trust controls for AI applied.
How does AnehtA help control AI costs?
By design. Each piece of work is given to the right actor: AI agents only where they add value, your existing systems for routine work, and your people for judgement. Agents work to an agreed design rather than by trial and error, which helps avoid the waste of open-ended experiments.
How does this help with regulation and standards?
The register of agents, the record of decisions and the governance set for each agent help you assemble the kind of evidence that regulators, auditors and standards such as the EU AI Act and ISO/IEC 42001 ask for. AnehtA can support your compliance work; it does not replace legal advice.
Does it work in our sector?
The method is designed for organisations whose work runs across departments, teams and systems. It has been applied in manufacturing, retail, hospitality, telecoms and other sectors. The credit card example on this page is one illustration.
Who is behind AnehtA?
AnehtA® is a registered trade mark and a proprietary method. It draws on more than 25 years of research into how organisations transform, and has been developed with senior leadership teams in manufacturing, retail, hospitality, telecoms and other sectors.
What happens after the briefing?
If AnehtA is right for you, we agree one process to start with, the people involved and a fixed fee. In 12 weeks you see the tested design, its costs and its benefits, and decide what to do next. There is no obligation to continue.
Check your willingness
To what extent is your organisation willing to change?
Everyone talks about readiness for AI. AnehtA appraises your organisation's willingness to adopt a workforce of people and AI agents. Six areas. 90 seconds. Your Willingness Profile appears at the centre of the AnehtA logo. Your answers stay in your browser unless you choose to share your profile when you book a briefing.
Book a 45-minute leadership briefing
For your senior team. We show what a workforce of people and AI agents, designed with AnehtA, would look like for your organisation, and where to start.