real work, not demos
We start with emails, PDFs, handovers, quotes, status updates, and decisions. From that we shape a workflow your team can review with subject-matter judgment.
No workshop, no tool resale, and no AI toy. An embedded AI engineer works with your team on the processes that cost time every day: email, quotes, documentation, handovers, research, and office work. We look at real work, draft a safe AI workflow, test it with examples, and show what should be built next. Grzegorz writes software himself: if the sprint should become an internal tool, automation, or safe agent workflow, kiba can offer implementation separately afterwards.
We do not sell BAFA. We sell a low-friction entry into real AI implementation: an AI engineer comes into the business, works with key roles, makes friction visible, and translates it into a safe workflow draft. Implementation, training, and productive software builds are separated and can be offered afterwards as their own implementation package.
The buzzword only matters if it changes work. At kiba, FDE means staying close to actual tasks, data boundaries, approvals, and implementation.
We start with emails, PDFs, handovers, quotes, status updates, and decisions. From that we shape a workflow your team can review with subject-matter judgment.
The sprint combines process analysis, prompt and template logic, tool selection, permissions, data privacy, and technical feasibility.
The 15-minute AI sprint check first clarifies whether there is a useful lever. If there is, we suggest a small sprint. If not, we say so directly.
The sprint does not end with a slide deck. It ends with checked workflow drafts, clear safety rules, consulting documentation, and a realistic implementation proposal. The team can then decide deliberately: stop, follow-up sprint, or separate implementation package.
The selected role as a concrete flow with data sources, approval points, risks, and handovers.
Reusable working instructions, email blocks, review rules, and document templates.
A workflow checked with examples. Productive automations, n8n setups, or software builds are optional implementation after the consulting engagement.
Which tools are used, which data may go where, and which permissions are minimally required.
Human-in-the-loop, approvals, failure cases, maintenance, and clear limits for daily use.
What should be built next: automation, internal tool, agent workflow, deployment, or operations as a separate implementation package.
Clarify target role, systems, data zones, access, and success criteria.
Walk through real work: emails, PDFs, handovers, exceptions, approvals, and bottlenecks.
Create prompts, templates, tool and permission recommendations, and test workflow examples. Productive implementation is separated.
Train the team, document operating rules, estimate ROI, and decide the next step.
OpenClaw and Hermes Agent show why AI deployment is no longer only about choosing a model. Once agents can use files, messages, browser, terminal, calendars, APIs, memory, and skills, AI agent security becomes part of the product.
Sensitive data, cloud tools, and model providers are classified before the sprint starts.
Tools receive only the permissions required for the workflow.
External emails, critical documents, and operational decisions stay subject to approval.
Where cloud tools are needed, we prefer European server locations and document the data path.
No autonomous payments, legal actions, or external communication without human decision.
OpenClaw, Hermes Agent, and similar tools need tool boundaries, logs, sandboxing, and approval gates before production use.
We do not advertise blanket subsidy rates or own-share amounts: no subsidy or own-share promise. Whether BAFA can fit your concrete consulting engagement is checked individually before the start. After three days you know where AI can realistically save time and money in your business.
The AI Practice Sprint is business consulting under the BAFA framework: we analyze one of your real processes, review data flows and risks, recommend suitable AI tools, and hand over a signable consulting report with a 90-day plan. Whether this AI consulting engagement is eligible for your business is clarified before contract start; application, review, and approval remain with the company and the responsible authority.
We pre-check your funding fit individually and without obligation.
Ask about AI consultingNo. KIBA is not a partner, reseller, or representative of OpenAI or Anthropic. We use the publicly described deployment trend as a reference point and translate it into an independent SME-ready format.
A kiba AI engineer works with one or more real roles in the business and hands over process analysis, data and approval rules, a safety concept, consulting documentation, and a next-step decision.
No. The sprint needs focused working windows with the target role and one responsible person for decisions, priorities, and access.
No. The sprint is a consulting engagement with process analysis, a tested workflow draft, safety rules, a consulting report, and an implementation proposal. Productive software development or automations are commissioned separately.
After the sprint there is a decision basis and, if useful, a separate implementation package. Grzegorz writes software himself; if an internal tool, automation, or safe agent workflow makes sense, that implementation is offered and commissioned separately.
They make the direction of AI agents visible: messaging, tools, terminal, browser, memory, skills, and automations. That is useful for SMEs only when permissions, data zones, logging, approvals, and external-action limits are designed first.
BAFA may be relevant for the consulting engagement, but we do not advertise blanket subsidy rates or own-share amounts. Application, review, approval, and payout remain with the company and BAFA; we cannot promise approval or payout. INQA is a separate coaching program and cannot be combined for the same engagement.
Tell us the industry, team size, and whether the bottleneck is quotes, documentation, handovers, information search, or office work. We respond with a sprint sketch: where a Forward Deployed AI Engineer can help, which small sprint makes sense, and whether funding may generally be relevant.
A short context is enough: process, team, industry, and whether BAFA funding is relevant. We answer with a pragmatic assessment, not a sales detour.