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Home Industries Agencies

AI for agencies

AI agents handle the routine work from briefing to reporting.

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Client briefingDraft with sourcesTeam approves
  • IT expertise since 1997
  • AI research since 2013
  • AKARA Solutions is Certified in the Claude Partner Network.
Claude Partner Network, partner badgeOur AI experts hold Claude certifications.(opens in a new window)
Quick answers

How can AI be used in everyday agency work?

In everyday agency work, AI pays off first where hours go into workflows no client ever sees: proposals after the briefing, campaign reports, variants of drafts, billing from time tracking. AKARA Solutions builds AI agents into these workflows and connects them to agency software, ad accounts and file storage. Your team approves before anything goes to the client.

Our services for agencies

Every service tailored to marketing, advertising and communications agencies, from briefing to billing.

Analysis, consulting, and implementation and integration follow one another in a circle around your organization; operations and infrastructure form a ring directly around your organization; training plus compliance and security enclose all steps.AnalysisConsultingImplementationOperations and infrastructureTrainingCompliance and securityYourorganization
  • AnalysisWe map your current processes: how a briefing turns into a proposal, where the numbers for the client report come from and how many correction rounds a draft needs.
    Examples: the workflow from briefing to client approval; data sources: agency software, time tracking, ad and analytics accounts, file storage; time per workflow, measured on your projects
  • ConsultingWe recommend target processes with AI and define for each step what AI agents take over and where your team signs off. For each use case, we calculate what it brings in hours and margin.
    Examples: target process per workflow, approved by your team leads; business case per use case, ranked by value; AI strategy and roadmap
  • Implementation and integrationWe build AI agents into your workflows, work with your real data and connect agency software, time tracking and file storage. Routine work goes straight through, and your team reviews everything before it goes to the client.
    Examples: preparing proposals from the briefing and earlier cost estimates; drafting campaign reports from ad and analytics accounts; drafts and variants following the client's brand guidelines; preparing billing from time tracking
  • Operations and infrastructureWe run and monitor your AI applications and the systems they run on, for as long as and wherever you want.
    Examples: operation, monitoring and maintenance, ongoing or until handover to your team; model selection and cost control; IT infrastructure and cloud services
  • Compliance and securityWe clarify data protection, confidentiality toward your clients and the EU AI Act before building. We answer your clients' questions about it together with you.
    Examples: classifying every application under the EU AI Act; access rights per client and project; an AI policy for your agency: who may do what with which data
  • TrainingIf you want, we train your account, creative and project management teams alongside the project, on your own workflows and at our academy.
    Examples: live seminars at our AI Academy in German, also at your site; key users in each team who pass on the knowledge; Claude in your team's daily work, with training
    See our trainings (in German)

Every workflow follows the same pattern: AI handles the routine, your team decides what goes to the client.

Your data and casesAI agent does the workApproval where it counts
Eike-Christian Ramcke
Eike-Christian RamckeCEO

Your contact for agencies

From the first conversation on, the person responsible for your project is involved.

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Proposals and pitches

How does AI prepare proposals and pitches from the briefing?

An AI agent takes in the briefing and asks for what is missing. It then pulls matching services, cost estimates and proposals from earlier projects and presents a draft proposal. It takes hourly rates and prices from your cost estimate. Your account team reviews the draft and approves it.

Learn more: Insights: AI agents: what they can do and where their limits areSeminar (in German): Agentic AI: automating tasks with AIService: Implementation and integration

Client briefingDraft proposalAccount team approves

Preparing proposals from the briefing

The AI takes in the briefing and assembles a draft proposal from earlier proposals and cost estimates. Your account team reviews and approves.

Campaign analysis and reporting

How does AI create client reporting from campaign data?

The AI agent pulls the numbers from the ad and analytics accounts you manage for your clients, merges them and drafts the report with commentary. It shows the source for every number. Your team checks the statements and approves the report before it goes to the client.

Learn more: Insights: Which AI model fits which use case?Seminar (in German): AI for advanced users: from idea to applicationService: Implementation and integration

Ad and analytics accountsDraft report with sourcesTeam approves

Drafting client reports

The AI merges the numbers from ad and analytics accounts and drafts the report. Every number cites its source.

Content production with approval

How does an agency produce content with AI that follows the client's brand guidelines?

AKARA Solutions sets up your client's brand guidelines for an AI agent: tone of voice, terminology and requirements. The agent creates drafts and variants according to these rules, and your team approves them. Approval also covers labeling: your team decides for each client and channel which content is labeled as created with AI. Every correction and every approval remains traceable in the workflow.

Learn more: Insights: Prompt design as a core competencySeminar (in German): Prompting for beginnersService: Implementation and integration

Briefing and brand guidelinesDrafts and variantsHuman approval

Content that follows brand guidelines

The AI creates drafts and variants following your client's brand guidelines. A person approves, and every correction remains traceable.

In the initial call, we work out which of your workflows comes first.

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Time tracking and billing

How does time tracking turn into billing per project?

The AI agent reads the time logged per project, compares it with budget and proposal and warns early when a project is about to exceed its budget. It prepares the proof of services and a draft invoice from time tracking. Your project management reviews, and accounting approves.

Learn more: Insights: Build or buy AI? Build vs. buy for midsize companiesSeminar (in German): Agentic AI: automating tasks with AIService: Implementation and integration

Time tracking per projectProof of services and draft invoiceProject management reviews

Billing from time tracking

The AI compares the logged time with budget and proposal and prepares the proof of services and a draft invoice.

Knowledge from projects

How do teams find templates, briefings and results from earlier projects?

AKARA Solutions makes templates, briefings, presentations and results from earlier projects searchable for an AI agent. Every answer cites the passage it comes from. Only those allowed to see the project have access. That keeps knowledge in the agency even when experienced colleagues leave.

Learn more: Insights: RAG, fine-tuning or both?Seminar (in German): AI fundamentals: your introduction to artificial intelligenceService: Implementation and integration

Templates, briefings, resultsAnswer with referenceTeam reviews

Finding knowledge from projects

Templates, briefings and results from earlier projects become searchable. Every answer cites the passage it comes from.

Client data and the EU AI Act

What applies to client data, data protection and the EU AI Act?

Before building, AKARA Solutions agrees with you on which client data the AI uses, where it runs and which contracts apply. We classify every application under the EU AI Act. The General Data Protection Regulation has applied since May 25, 2018, and the EU AI Act obligations for high-risk systems under Annex III apply from December 2, 2027.

Source: General Data Protection Regulation (EUR-Lex)Source: Regulation (EU) 2026/1744 (EUR-Lex)

Learn more: Insights: EU AI Act: what companies need to know and do nowSeminar (in German): AI compliance and security (EU AI Act)Service: Compliance and security

  • Data protectionWe set up where your data resides and where the AI runs according to your requirements. Before building, we agree with you on which data it uses and which contracts apply.
  • Your clients' dataThe AI only works with the accounts, storage and fields you approve, separated by client. What it reads is stated in the project description.
  • EU AI ActWe classify every application under the EU AI Act before building. We train your team as an AI literacy measure under Article 4; the AI literacy check shows in advance where it stands today.
Running AI agents securely

How secure is an AI agent in our workflows?

Before launch, AKARA Solutions defines what an agent may do and which data from client accounts, agency software and project storage it can access. We test whether it can be manipulated, for example through instructions someone slips into emails or documents. Every decision is logged, and your experts sign off where their judgment matters.

Learn more: Insights: AI agents: what they can do and where their limits areSeminar (in German): AI compliance and security (EU AI Act)Service: Compliance and security

  • PermissionsBefore launch, we agree with you on what the agent may read and do.
  • Protection against manipulationWe test the agent against instructions someone slips into emails or documents.
  • LogEvery decision the agent makes is logged and remains traceable.
  • Code reviewWe review code that AI helps write like any other code.

Which workflow takes your agency the most time?

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